SlideShare uma empresa Scribd logo
1 de 33
Baixar para ler offline
Seminar on Web Search
Current and Future Trends in Web Search


Prof. Beat Signer

Department of Computer Science
Vrije Universiteit Brussel

http://www.beatsigner.com
                                          2 December 2005
The Future of the Web
      From a Web of documents (e.g. HTML
          pages) to a Web of structured data and services
              semantic web and linked data
              cloud computing
              enabling technologies
                 - URI, XML, XHTML, RDF and OWL

      The Internet as one global machine
              interoperability of services
              automatic reasoning
      The mobile web
              access information and services offered by the global machine
               from everywhere at any time, feed the machine with new data and
               teach the machine new relationships between data
September 12, 2011                 Beat Signer - Department of Computer Science - bsigner@vub.ac.be   2
The Future of the Web ...
      Internet of Things
              integration of physical objects with the global machine
              physical world gets reflected in digital space via sensor input data
                 - RFID, GPS, temperature, ...
              information and services managed by the global machine get
               projected into the physical space via augmented reality
      Personal data that is nowadays stored in folders on
          personal computers might move to the global machine
      User interfaces for the global machine
              personalised filtering and recommendation of related information
               based on user profiling and AI technologies
              cross-media browsers


September 12, 2011                    Beat Signer - Department of Computer Science - bsigner@vub.ac.be   3
The Future of the Web ...
      How will documents look like in the future?
              graph of linked data
              documents as structural view of the linked data
      How are the presented ideas related to the approaches
          introduced earlier?
              e.g. Bush's Memex or Nelson's Xanadu
      Do we need new publishing models for the creation of
          linked data to be managed by the machine?
      Finally, it is not only about connecting our data, services
          and machines but we are the machine


September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   4
The Future of the Internet

         internet of things                                                 security and privacy



         web of data                                                                        mobile web



         self-organisation                                                        social computing



         cloud computing                                                     one global machine


September 12, 2011            Beat Signer - Department of Computer Science - bsigner@vub.ac.be           5
The Semantic Web
      Meaning of data on the Web can not only be infered by
          people but also discovered by machines without (or with
          less) human intervention
      Web of data instead of web of documents
              the Web as a huge decentralised database (knowledge base)
              machine-accessible data
              data may be interconnected similar to today's webpages
              combination of data from different sources to derive new facts
              machine-readable metadata for existing web content
              machines (agents) may use logical reasoning to infer facts that
               are not explicitly recorded
      Crucial component of Web 3.0
September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   6
Resource Description Framework (RDF)
      The Resource Description Framework (RDF) has been
          designed to describe
              data and metadata about specific subjects
              structure of data sets
              relationships between bits of data
      An RDF statement (triple) consists of three parts
              subject
              predicate (property)
              object (value)
      {person-1, name, "Niklaus Wirth"}

          subject        predicate          object


September 12, 2011                   Beat Signer - Department of Computer Science - bsigner@vub.ac.be   7
Friend of a Friend (FOAF)
      Personal information and connections to friends in RDF
              http://www.foaf-project.org
      <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
        xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:foaf="http://xmlns.com/foaf/0.1/">
       <foaf:Person>
        <foaf:name>Beat Signer</foaf:name>
        <foaf:title>Prof.</foaf:title>
        <foaf:givenname>Beat</foaf:givenname>
        <foaf:family_name>Signer</foaf:family_name>
        <foaf:nick>Beat</foaf:nick>
        <foaf:mbox_sha1sum>ce6d419869307d57839feef6445a9d64f784eb36</foaf:mbox_sha1sum>
        ...
        <foaf:knows>
         <foaf:Person>
          <foaf:name>Moira C. Norrie</foaf:name>
          <foaf:mbox_sha1sum>4cb61b36a6feaa48c78acbb51fcce7cb356afdd6</foaf:mbox_sha1sum>
          <rdfs:seeAlso rdf:resource="http://www.globis.ethz.ch/people/norrie.rdf">
         </foaf:Person>
        </foaf:knows>
        ...
       </foaf:Person>
      </rdf:RDF>



September 12, 2011                    Beat Signer - Department of Computer Science - bsigner@vub.ac.be   8
Friend of a Friend (FOAF) ...
      First social Semantic Web
          application
              Miller and Brickley, 2000
      Describe a social network
          without a central database
              links can be followed by
               spiders (data mining)
              no unique identifier                                    [http://rdfweb.org/images/foaf/foafnaut-screenshot-path.jpg]
                 - identification by description
                   (pedicates and objects)
              "six degrees of separation" or
               "small world phenomenon"
      FOAFNaut browser
September 12, 2011                      Beat Signer - Department of Computer Science - bsigner@vub.ac.be                              9
Semantic Wikis
      Use Semantic Web
          technologies to provide
          machine-processable
          Wiki content
              page content
              link metadata
      Ontology reasoning
      Existing semantic Wikis
              DBPedia
              Semantic MediaWiki
              KiWi
              ...
September 12, 2011             Beat Signer - Department of Computer Science - bsigner@vub.ac.be   10
Linked Data




                                [http://upload.wikimedia.org/wikipedia/en/8/8c/Lod-datasets_2009-07-14_colored.png]



      Web of data instead of Web of documents
              Semantic Web
              linked data as part of the Semantic Web
                 - based on URI, HTTP and RDF
              various applications and search engines already make use of
               structured data on the Web

September 12, 2011                        Beat Signer - Department of Computer Science - bsigner@vub.ac.be            11
Microformats
      Add semantics to (X)HTML pages
      Makes use of specific (X)HTML tag attributes
              class and rel attributes
                 - e.g. rel="nofollow" for search engines

      Specific microformats
              hCard: contact information
              hCalendar: event information
              hProduct: product information
      Alternative solutions
              semantic web (RDFa)
              ...


September 12, 2011                    Beat Signer - Department of Computer Science - bsigner@vub.ac.be   12
hCard Microformat Example
        <head profile="http://www.w3.org/2006/03/hcard">
         ...
        </head>
         ...
        <div class="vcard">
         <div class="fn">Lode Hoste</div>
         <div class="org">Vrije Universiteit Brussel</div>
         <div class="tel">32 2629 3306</div>
         <a class="url" href="http://wise.vub.ac.be/members/lode/">
            http://wise.vub.ac.be/members/lode/</a>
        </div>



      Some search engines start
          to pay attention to different
          types of microformats
          (e.g. hProduct)

September 12, 2011              Beat Signer - Department of Computer Science - bsigner@vub.ac.be   13
RDF in Attributes (RDFa)
      Add a set of attribute extensions to XHTML for
          embedding RDF metadata
      Different vocabularies
              FOAF, video, audio, commerce, …
      Search engines (e.g. Yahoo and Google) process certain
          RDFa metadata (e.g. product information)
      <p xmlns:dc=http://purl.org/dc/elements/1.1/
         about="http://www.amazon.com/...">
       and the will to live. <span property="dc:creator">Simpson</span>
       dedicates the book <cite property="dc:title">Touching the Void</cite> to
       the... The book was published in <span property="dc:date"
       content="1989-12-01">December 1989</span>.
      </p>



September 12, 2011              Beat Signer - Department of Computer Science - bsigner@vub.ac.be   14
GoodRelations
      Lightweight ontology for expressing
          product information in e-commerce web applications
      Product features
              offers
              prices
              units
              ...
      Adopted by various companies
              Yahoo
              BestBuy
              ...
      Leads to enhanced product search functionality
September 12, 2011         Beat Signer - Department of Computer Science - bsigner@vub.ac.be   15
Wolfram Alpha
      Semantic search engine
      Searches and computes
          answers based on curated
          set of structured data
      Complements traditional
          search engines




September 12, 2011         Beat Signer - Department of Computer Science - bsigner@vub.ac.be   16
Location-Based Search
      Use contextual information about a person's or
          object's position as part of a query
      Different possibilities to get a client's position
              (manually entered by user)
              Global Positioning System (GPS)
              Wi-Fi signal strength
              cell phone tower triangulation,
              RFID tags
              ...
      Potential applications include
              navigation services, tracking services (e.g. parcels),
               location-based advertising, recommender systems
               (e.g. nearby restaurants), augmented reality search, ...
September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   17
Geotagging of Digital Resources
      Add geographical metadata (latitude, longitude) to
          different types of media
              websites
                 - e.g. special Geo microformat
              photographs
              videos
              RSS feeds
              ...
      Metadata can be added manually or automatically
              e.g. recent digital cameras automatically geotag new pictures




September 12, 2011                    Beat Signer - Department of Computer Science - bsigner@vub.ac.be   18
Location-Based Search
      Location-based queries
          for nearby services and
          route finding
              e.g. Google maps
              map-based data fusion
      Location-aware querying
          can be combined with
          social networking
              e.g. foursquare
              check-in at specific places
               and get tips from colleagues
              what about privacy?

September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   19
Augmented Reality Search
      The WIKITUDE World
          browser presents
          information about nearby
          physical landmarks as
          well as content added by
          other users
         Real-time augmentation of mobile phone camera view
         WIKITUDE.me authoring tool to add points of interest
         WIKITUDE API for augmented reality applications
         Available for different types of mobile phones
              Android, iPhone, ...

September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   20
Audio-Based Search
      Audio search engines use
          acoustic fingerprints of
          recorded audio samples
              use mobile phone micro-
               phone to record a few
               seconds of a song
              send query to server
              e.g. SoundHound or Shazam
      Query by Humming (QbH)
              find similar songs based on a
               hummed melody
              e.g. musipedia

September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   21
Internet of Things
      In the future we will see more and more network- or
          Internet-enabled physical objects
      Physical objects get linked to digital information and
          services offered in the cloud
      How many objects will there be?
              estimates of 100'000 billion and more objects
      Is a simple tagging via RFID tags or barcodes enough?
              e.g. Barcode Hero or RedLaser
              what if only a part of an object should be linked to data?
      Is the simple mapping to a web presence (URI) enough?

September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   22
Paper-Based Search
      Interactive festival guide
          for the Edinburgh Festival
          Fringe
      Multimodal interface
              digital pen input
              voice (input) and output
      Augmented paper with
          digital query functionality
              "button"-based queries
              map-based queries
              advanced query interface via
               paper bookmark
September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   23
EdFest Documents




September 12, 2011   Beat Signer - Department of Computer Science - bsigner@vub.ac.be   24
Image-Based Search
      Reverse image search
          engines to find different
          versions of an image
              e.g. TinEye
      Image-based querying of
          textual information
              e.g. Google Goggles
      Image retrieval with face
          recognition
              e.g. Flickr
              what about privacy if used on
               a global scale?
September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   25
Personalisation
      To deal with the sheer amount of data, we can apply
          semantic filtering and recommedation on the web of data
      The filtering and recommendation can be based on
              personal profiling
                 - monitoring a user's interaction with the global machine
              social profiling
                 - investigate a user's social network
              item classication
                 - find similar items based on intrinsic properties as well as collaborative
                   annotations




September 12, 2011                      Beat Signer - Department of Computer Science - bsigner@vub.ac.be   26
Social Search
      Web search that makes
          use of the Social Graph
          for result ranking
              e.g. Google Social Search
              comments and input from
               friends
              note the similarity to
               PageRank
      Queries can also be
          outsourced to colleagues
          via Twitter, Facebook etc.


September 12, 2011               Beat Signer - Department of Computer Science - bsigner@vub.ac.be   27
Social Bookmarking
      Social bookmarking
          services
              store bookmarks and access
               them from different browsers
              share and discover book-
               marks
              e.g. delicious
      Non-hierarchical classi-
          fication based on tags
      Social bookmarking services provide additional metadata
          that can be used to improve search engine ranking
          algorithms

September 12, 2011               Beat Signer - Department of Computer Science - bsigner@vub.ac.be   28
The Google Effect
      A recent study by Sparrow et al. shows that
          people less likely remember things that they
          believe to be accessible online
              Internet as a transactive memory
      Does our memory work differently in the age of Google?
      What implications will the future of the Internet and new
          search have?




September 12, 2011               Beat Signer - Department of Computer Science - bsigner@vub.ac.be   29
Conclusions
      Rapidly changing environment with innovative non-
          textual query interfaces
              semantic web, mobile applications, Internet of Things, ...
              market for many specialised search engines
      Technology brings new challenges for search engines
              e.g. increase in hidden data via Rich Internet applications (RIAs)
      Growing amount of semantic data
               reasoning over linked data
      Integration of results from different query engines
              e.g. Open Search and other initiatives
      One global machine ...

September 12, 2011                Beat Signer - Department of Computer Science - bsigner@vub.ac.be   30
References
      The Friend of a Friend Project
              http://www.foaf-project.org

      DBpedia
              http://dbpedia.org

      Linked Data
              http://linkeddata.org

      GoodRelations
              http://www.heppnetz.de/projects/goodrelations/

      Foursquare
              https://foursquare.com



September 12, 2011            Beat Signer - Department of Computer Science - bsigner@vub.ac.be   31
References ...
      Wolfram Alpha
              http://www.wolframalpha.com

      Wikitude
              http://www.wikitude.com

      SoundHound
              http://www.soundhound.com

      Musipedia
              http://www.musipedia.org

      TineEye
              http://www.tineye.com



September 12, 2011            Beat Signer - Department of Computer Science - bsigner@vub.ac.be   32
References ...
      Delicious
              http://www.delicious.com

      B. Signer, Fundamental Concepts for
          Interactive Paper and Cross-Media Information Spaces,
          ISBN 978-3-8370-2713-6, May 2008
      B. Sparrow, J. Liu and D.M. Wegner, Google Effects on
          Memory: Cognitive Consequences of Having Information
          at Our Fingertips, Science, July 2011




September 12, 2011            Beat Signer - Department of Computer Science - bsigner@vub.ac.be   33

Mais conteúdo relacionado

Mais procurados

Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...
Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...
Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...Beat Signer
 
RDFa: putting RDF on the Web
RDFa: putting RDF on the WebRDFa: putting RDF on the Web
RDFa: putting RDF on the WebBenjamin Heitmann
 
Presentation of current research: distributed architecture for recommendation...
Presentation of current research: distributed architecture for recommendation...Presentation of current research: distributed architecture for recommendation...
Presentation of current research: distributed architecture for recommendation...Benjamin Heitmann
 
Swap2010 agave
Swap2010 agaveSwap2010 agave
Swap2010 agavejuanaya
 
Estate Planning in the Digital Age - Fall 2012
Estate Planning in the Digital Age - Fall 2012Estate Planning in the Digital Age - Fall 2012
Estate Planning in the Digital Age - Fall 2012gallowayandcollens
 
Explaining The Semantic Web
Explaining The Semantic WebExplaining The Semantic Web
Explaining The Semantic WebSourav Sharma
 
Intelligent expert systems for location planning
Intelligent expert systems for location planningIntelligent expert systems for location planning
Intelligent expert systems for location planningNavid Milanizadeh
 
Introduction - Web Technologies (1019888BNR)
Introduction - Web Technologies (1019888BNR)Introduction - Web Technologies (1019888BNR)
Introduction - Web Technologies (1019888BNR)Beat Signer
 
Linked data and Semantic Web Applications for Libraries
Linked data and Semantic Web Applications for LibrariesLinked data and Semantic Web Applications for Libraries
Linked data and Semantic Web Applications for LibrariesVikas Bhushan
 
Update on Access to Digital Assets: Are We There Yet?
Update on Access to Digital Assets: Are We There Yet?Update on Access to Digital Assets: Are We There Yet?
Update on Access to Digital Assets: Are We There Yet?gallowayandcollens
 
Data Sharing and the Polar Information Commons
Data Sharing and the Polar Information CommonsData Sharing and the Polar Information Commons
Data Sharing and the Polar Information CommonsKaitlin Thaney
 
The Potential and Challenges of Today's AI
The Potential and Challenges of Today's AIThe Potential and Challenges of Today's AI
The Potential and Challenges of Today's AIBohyun Kim
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic WebNuxeo
 
CISO's Guide to Securing SharePoint
CISO's Guide to Securing SharePointCISO's Guide to Securing SharePoint
CISO's Guide to Securing SharePointImperva
 
Digital assets ep article february 2015
Digital assets ep article february 2015Digital assets ep article february 2015
Digital assets ep article february 2015robertpperry
 
Overview AG AKSW
Overview AG AKSWOverview AG AKSW
Overview AG AKSWSören Auer
 
Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...
Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...
Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...kcortis
 

Mais procurados (20)

Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...
Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...
Multimodal Interaction - Lecture 05 - Next Generation User Interfaces (401816...
 
RDFa: putting RDF on the Web
RDFa: putting RDF on the WebRDFa: putting RDF on the Web
RDFa: putting RDF on the Web
 
Presentation of current research: distributed architecture for recommendation...
Presentation of current research: distributed architecture for recommendation...Presentation of current research: distributed architecture for recommendation...
Presentation of current research: distributed architecture for recommendation...
 
Swap2010 agave
Swap2010 agaveSwap2010 agave
Swap2010 agave
 
Estate Planning in the Digital Age - Fall 2012
Estate Planning in the Digital Age - Fall 2012Estate Planning in the Digital Age - Fall 2012
Estate Planning in the Digital Age - Fall 2012
 
Explaining The Semantic Web
Explaining The Semantic WebExplaining The Semantic Web
Explaining The Semantic Web
 
Lgd 2
Lgd 2Lgd 2
Lgd 2
 
Intelligent expert systems for location planning
Intelligent expert systems for location planningIntelligent expert systems for location planning
Intelligent expert systems for location planning
 
Minning www
Minning wwwMinning www
Minning www
 
Introduction - Web Technologies (1019888BNR)
Introduction - Web Technologies (1019888BNR)Introduction - Web Technologies (1019888BNR)
Introduction - Web Technologies (1019888BNR)
 
Linked data and Semantic Web Applications for Libraries
Linked data and Semantic Web Applications for LibrariesLinked data and Semantic Web Applications for Libraries
Linked data and Semantic Web Applications for Libraries
 
Update on Access to Digital Assets: Are We There Yet?
Update on Access to Digital Assets: Are We There Yet?Update on Access to Digital Assets: Are We There Yet?
Update on Access to Digital Assets: Are We There Yet?
 
Data Sharing and the Polar Information Commons
Data Sharing and the Polar Information CommonsData Sharing and the Polar Information Commons
Data Sharing and the Polar Information Commons
 
Web Mining
Web MiningWeb Mining
Web Mining
 
The Potential and Challenges of Today's AI
The Potential and Challenges of Today's AIThe Potential and Challenges of Today's AI
The Potential and Challenges of Today's AI
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic Web
 
CISO's Guide to Securing SharePoint
CISO's Guide to Securing SharePointCISO's Guide to Securing SharePoint
CISO's Guide to Securing SharePoint
 
Digital assets ep article february 2015
Digital assets ep article february 2015Digital assets ep article february 2015
Digital assets ep article february 2015
 
Overview AG AKSW
Overview AG AKSWOverview AG AKSW
Overview AG AKSW
 
Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...
Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...
Discovering Semantic Equivalence of People behind Online Profiles (RED 2012 -...
 

Destaque

ACBA Future Of The (Text)Book
ACBA Future Of The (Text)BookACBA Future Of The (Text)Book
ACBA Future Of The (Text)BookJennifer Wilson
 
Designing Content: Teaching High School Students to Make Mobile Experiences t...
Designing Content: Teaching High School Students to Make Mobile Experiences t...Designing Content: Teaching High School Students to Make Mobile Experiences t...
Designing Content: Teaching High School Students to Make Mobile Experiences t...Rebekah Baggs
 
How to Future Proof Your Content for Content Strategy Applied 2014
How to Future Proof Your Content for Content Strategy Applied 2014How to Future Proof Your Content for Content Strategy Applied 2014
How to Future Proof Your Content for Content Strategy Applied 2014Marlowe Sarah Beckley
 
The Squishy Future of Content
The Squishy Future of ContentThe Squishy Future of Content
The Squishy Future of ContentDave Olsen
 
Preservation for all: the future of government documents and the “digital FDL...
Preservation for all: the future of government documents and the “digital FDL...Preservation for all: the future of government documents and the “digital FDL...
Preservation for all: the future of government documents and the “digital FDL...James Jacobs
 
The Relationship Between Content and Innovation
The Relationship Between Content and InnovationThe Relationship Between Content and Innovation
The Relationship Between Content and InnovationMichael Coghlan
 
The future of Content management when the mobile Broadcasts Intent
The future of Content management when the mobile Broadcasts Intent The future of Content management when the mobile Broadcasts Intent
The future of Content management when the mobile Broadcasts Intent Tony Fish
 
FutureOfText2015
FutureOfText2015FutureOfText2015
FutureOfText2015Jack Park
 
Knowledge Garden Overview
Knowledge Garden OverviewKnowledge Garden Overview
Knowledge Garden OverviewJack Park
 
An Overview of Data Management Paradigms: Relational, Document, and Graph
An Overview of Data Management Paradigms: Relational, Document, and GraphAn Overview of Data Management Paradigms: Relational, Document, and Graph
An Overview of Data Management Paradigms: Relational, Document, and GraphMarko Rodriguez
 
The Future of Text Analytics
The Future of Text AnalyticsThe Future of Text Analytics
The Future of Text AnalyticsAttensity
 
What Does The Future Hold For ECM?
What Does The Future Hold For ECM?What Does The Future Hold For ECM?
What Does The Future Hold For ECM?Russ Stalters
 
Neos and the Future of Content Management
Neos and the Future of Content ManagementNeos and the Future of Content Management
Neos and the Future of Content ManagementDaniel Hinderink
 
Next Level Collaboration: The Future of Content & Web Design at Future Insigh...
Next Level Collaboration: The Future of Content & Web Design at Future Insigh...Next Level Collaboration: The Future of Content & Web Design at Future Insigh...
Next Level Collaboration: The Future of Content & Web Design at Future Insigh...Rebekah Baggs
 
Graph Databases and the Future of Large-Scale Knowledge Management
Graph Databases and the Future of Large-Scale Knowledge ManagementGraph Databases and the Future of Large-Scale Knowledge Management
Graph Databases and the Future of Large-Scale Knowledge ManagementMarko Rodriguez
 
The Future of Document Design and Craetion
The Future of Document Design and CraetionThe Future of Document Design and Craetion
The Future of Document Design and CraetionOscar Dubbeldam
 
The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...
The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...
The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...Gerd Leonhard
 
The Future of Marketing Is Content
The Future of Marketing Is ContentThe Future of Marketing Is Content
The Future of Marketing Is ContentMichael Brenner
 
Next-level collaboration: The future of content and design | Confab 2015
Next-level collaboration: The future of content and design | Confab 2015Next-level collaboration: The future of content and design | Confab 2015
Next-level collaboration: The future of content and design | Confab 2015Rebekah Baggs
 

Destaque (20)

ACBA Future Of The (Text)Book
ACBA Future Of The (Text)BookACBA Future Of The (Text)Book
ACBA Future Of The (Text)Book
 
Designing Content: Teaching High School Students to Make Mobile Experiences t...
Designing Content: Teaching High School Students to Make Mobile Experiences t...Designing Content: Teaching High School Students to Make Mobile Experiences t...
Designing Content: Teaching High School Students to Make Mobile Experiences t...
 
How to Future Proof Your Content for Content Strategy Applied 2014
How to Future Proof Your Content for Content Strategy Applied 2014How to Future Proof Your Content for Content Strategy Applied 2014
How to Future Proof Your Content for Content Strategy Applied 2014
 
The Squishy Future of Content
The Squishy Future of ContentThe Squishy Future of Content
The Squishy Future of Content
 
Preservation for all: the future of government documents and the “digital FDL...
Preservation for all: the future of government documents and the “digital FDL...Preservation for all: the future of government documents and the “digital FDL...
Preservation for all: the future of government documents and the “digital FDL...
 
The Relationship Between Content and Innovation
The Relationship Between Content and InnovationThe Relationship Between Content and Innovation
The Relationship Between Content and Innovation
 
The future of Content management when the mobile Broadcasts Intent
The future of Content management when the mobile Broadcasts Intent The future of Content management when the mobile Broadcasts Intent
The future of Content management when the mobile Broadcasts Intent
 
FutureOfText2015
FutureOfText2015FutureOfText2015
FutureOfText2015
 
Knowledge Garden Overview
Knowledge Garden OverviewKnowledge Garden Overview
Knowledge Garden Overview
 
An Overview of Data Management Paradigms: Relational, Document, and Graph
An Overview of Data Management Paradigms: Relational, Document, and GraphAn Overview of Data Management Paradigms: Relational, Document, and Graph
An Overview of Data Management Paradigms: Relational, Document, and Graph
 
The Future of Text Analytics
The Future of Text AnalyticsThe Future of Text Analytics
The Future of Text Analytics
 
What Does The Future Hold For ECM?
What Does The Future Hold For ECM?What Does The Future Hold For ECM?
What Does The Future Hold For ECM?
 
Neos and the Future of Content Management
Neos and the Future of Content ManagementNeos and the Future of Content Management
Neos and the Future of Content Management
 
Next Level Collaboration: The Future of Content & Web Design at Future Insigh...
Next Level Collaboration: The Future of Content & Web Design at Future Insigh...Next Level Collaboration: The Future of Content & Web Design at Future Insigh...
Next Level Collaboration: The Future of Content & Web Design at Future Insigh...
 
Graph Databases and the Future of Large-Scale Knowledge Management
Graph Databases and the Future of Large-Scale Knowledge ManagementGraph Databases and the Future of Large-Scale Knowledge Management
Graph Databases and the Future of Large-Scale Knowledge Management
 
The Future of Document Design and Craetion
The Future of Document Design and CraetionThe Future of Document Design and Craetion
The Future of Document Design and Craetion
 
The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...
The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...
The End Of Control and the Future of Content: Futurist Gerd Leonhard Authors@...
 
The Future of Marketing Is Content
The Future of Marketing Is ContentThe Future of Marketing Is Content
The Future of Marketing Is Content
 
Antiviral Agents
Antiviral AgentsAntiviral Agents
Antiviral Agents
 
Next-level collaboration: The future of content and design | Confab 2015
Next-level collaboration: The future of content and design | Confab 2015Next-level collaboration: The future of content and design | Confab 2015
Next-level collaboration: The future of content and design | Confab 2015
 

Semelhante a Current and Future Trends in Web Search - Seminar on Web Search

Architecture Patterns for Semantic Web Applications
Architecture Patterns for Semantic Web ApplicationsArchitecture Patterns for Semantic Web Applications
Architecture Patterns for Semantic Web Applicationsbpanulla
 
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)Semantic Web and Web 3.0 - Web Technologies (1019888BNR)
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)Beat Signer
 
Future Trends - Lecture 12 - Web Information Systems (4011474FNR)
Future Trends - Lecture 12 - Web Information Systems (4011474FNR)Future Trends - Lecture 12 - Web Information Systems (4011474FNR)
Future Trends - Lecture 12 - Web Information Systems (4011474FNR)Beat Signer
 
Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...
Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...
Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...Beat Signer
 
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)Beat Signer
 
Security-Challenges-in-Implementing-Semantic-Web-Unifying-Logic
Security-Challenges-in-Implementing-Semantic-Web-Unifying-LogicSecurity-Challenges-in-Implementing-Semantic-Web-Unifying-Logic
Security-Challenges-in-Implementing-Semantic-Web-Unifying-LogicNana Kwame(Emeritus) Gyamfi
 
The Social Semantic Web
The Social Semantic WebThe Social Semantic Web
The Social Semantic WebJohn Breslin
 
Data Portability with SIOC and FOAF
Data Portability with SIOC and FOAFData Portability with SIOC and FOAF
Data Portability with SIOC and FOAFUldis Bojars
 
Prototyping a Web 2.0 interface to digitized taxonomic literature
Prototyping a Web 2.0 interface to digitized taxonomic literaturePrototyping a Web 2.0 interface to digitized taxonomic literature
Prototyping a Web 2.0 interface to digitized taxonomic literatureChris Freeland
 
Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...
Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...
Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...Beat Signer
 
Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)
Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)
Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)Beat Signer
 
2011 05-02 linked data intro
2011 05-02 linked data intro2011 05-02 linked data intro
2011 05-02 linked data introvafopoulos
 
Get on the Linked Data Web!
Get on the Linked Data Web!Get on the Linked Data Web!
Get on the Linked Data Web!Armin Haller
 
Semantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information SpacesSemantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information SpacesJohn Breslin
 
SIOC: Semantic Web for Social Media Sites
SIOC: Semantic Web for Social Media SitesSIOC: Semantic Web for Social Media Sites
SIOC: Semantic Web for Social Media SitesUldis Bojars
 
Cross-Media Information Systems - Quo Vadis?
Cross-Media Information Systems - Quo Vadis?Cross-Media Information Systems - Quo Vadis?
Cross-Media Information Systems - Quo Vadis?Beat Signer
 
Service Integration - A Web of Things Perspective
Service Integration - A Web of Things PerspectiveService Integration - A Web of Things Perspective
Service Integration - A Web of Things PerspectiveSimon Mayer
 
Sticking between: mashup in libraries
Sticking between: mashup in librariesSticking between: mashup in libraries
Sticking between: mashup in librariesBonaria Biancu
 

Semelhante a Current and Future Trends in Web Search - Seminar on Web Search (20)

Architecture Patterns for Semantic Web Applications
Architecture Patterns for Semantic Web ApplicationsArchitecture Patterns for Semantic Web Applications
Architecture Patterns for Semantic Web Applications
 
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)Semantic Web and Web 3.0 - Web Technologies (1019888BNR)
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)
 
Future Trends - Lecture 12 - Web Information Systems (4011474FNR)
Future Trends - Lecture 12 - Web Information Systems (4011474FNR)Future Trends - Lecture 12 - Web Information Systems (4011474FNR)
Future Trends - Lecture 12 - Web Information Systems (4011474FNR)
 
Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...
Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...
Introduction - Lecture 1 - Seminar Web Information Systems Technology (WE-DIN...
 
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
 
Security-Challenges-in-Implementing-Semantic-Web-Unifying-Logic
Security-Challenges-in-Implementing-Semantic-Web-Unifying-LogicSecurity-Challenges-in-Implementing-Semantic-Web-Unifying-Logic
Security-Challenges-in-Implementing-Semantic-Web-Unifying-Logic
 
The Social Semantic Web
The Social Semantic WebThe Social Semantic Web
The Social Semantic Web
 
Data Portability with SIOC and FOAF
Data Portability with SIOC and FOAFData Portability with SIOC and FOAF
Data Portability with SIOC and FOAF
 
Prototyping a Web 2.0 interface to digitized taxonomic literature
Prototyping a Web 2.0 interface to digitized taxonomic literaturePrototyping a Web 2.0 interface to digitized taxonomic literature
Prototyping a Web 2.0 interface to digitized taxonomic literature
 
Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...
Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...
Introduction - Lecture 1 - Advanced Topics in Information Systems (WE-DINF-15...
 
Fedora
FedoraFedora
Fedora
 
Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)
Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)
Web 2.0 Basics - Lecture 06 - Web Information Systems (4011474FNR)
 
2011 05-02 linked data intro
2011 05-02 linked data intro2011 05-02 linked data intro
2011 05-02 linked data intro
 
Get on the Linked Data Web!
Get on the Linked Data Web!Get on the Linked Data Web!
Get on the Linked Data Web!
 
Semantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information SpacesSemantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information Spaces
 
SIOC: Semantic Web for Social Media Sites
SIOC: Semantic Web for Social Media SitesSIOC: Semantic Web for Social Media Sites
SIOC: Semantic Web for Social Media Sites
 
Cross-Media Information Systems - Quo Vadis?
Cross-Media Information Systems - Quo Vadis?Cross-Media Information Systems - Quo Vadis?
Cross-Media Information Systems - Quo Vadis?
 
Service Integration - A Web of Things Perspective
Service Integration - A Web of Things PerspectiveService Integration - A Web of Things Perspective
Service Integration - A Web of Things Perspective
 
SMBwiki lotico 2012
SMBwiki lotico 2012SMBwiki lotico 2012
SMBwiki lotico 2012
 
Sticking between: mashup in libraries
Sticking between: mashup in librariesSticking between: mashup in libraries
Sticking between: mashup in libraries
 

Mais de Beat Signer

Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)
Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)
Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)Beat Signer
 
Indoor Positioning Using the OpenHPS Framework
Indoor Positioning Using the OpenHPS FrameworkIndoor Positioning Using the OpenHPS Framework
Indoor Positioning Using the OpenHPS FrameworkBeat Signer
 
Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...
Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...
Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...Beat Signer
 
Cross-Media Technologies and Applications - Future Directions for Personal In...
Cross-Media Technologies and Applications - Future Directions for Personal In...Cross-Media Technologies and Applications - Future Directions for Personal In...
Cross-Media Technologies and Applications - Future Directions for Personal In...Beat Signer
 
Bridging the Gap: Managing and Interacting with Information Across Media Boun...
Bridging the Gap: Managing and Interacting with Information Across Media Boun...Bridging the Gap: Managing and Interacting with Information Across Media Boun...
Bridging the Gap: Managing and Interacting with Information Across Media Boun...Beat Signer
 
Codeschool in a Box: A Low-Barrier Approach to Packaging Programming Curricula
Codeschool in a Box: A Low-Barrier Approach to Packaging Programming CurriculaCodeschool in a Box: A Low-Barrier Approach to Packaging Programming Curricula
Codeschool in a Box: A Low-Barrier Approach to Packaging Programming CurriculaBeat Signer
 
The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions
The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions
The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions Beat Signer
 
Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...
Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...
Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...Beat Signer
 
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)Dashboards - Lecture 11 - Information Visualisation (4019538FNR)
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)Beat Signer
 
Interaction - Lecture 10 - Information Visualisation (4019538FNR)
Interaction - Lecture 10 - Information Visualisation (4019538FNR)Interaction - Lecture 10 - Information Visualisation (4019538FNR)
Interaction - Lecture 10 - Information Visualisation (4019538FNR)Beat Signer
 
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...Beat Signer
 
Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)
Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)
Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)Beat Signer
 
Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...
Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...
Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...Beat Signer
 
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...Beat Signer
 
Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)
Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)
Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)Beat Signer
 
Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)
Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)
Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)Beat Signer
 
Data Representation - Lecture 3 - Information Visualisation (4019538FNR)
Data Representation - Lecture 3 - Information Visualisation (4019538FNR)Data Representation - Lecture 3 - Information Visualisation (4019538FNR)
Data Representation - Lecture 3 - Information Visualisation (4019538FNR)Beat Signer
 
Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...
Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...
Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...Beat Signer
 
Introduction - Lecture 1 - Information Visualisation (4019538FNR)
Introduction - Lecture 1 - Information Visualisation (4019538FNR)Introduction - Lecture 1 - Information Visualisation (4019538FNR)
Introduction - Lecture 1 - Information Visualisation (4019538FNR)Beat Signer
 
Towards a Framework for Dynamic Data Physicalisation
Towards a Framework for Dynamic Data PhysicalisationTowards a Framework for Dynamic Data Physicalisation
Towards a Framework for Dynamic Data PhysicalisationBeat Signer
 

Mais de Beat Signer (20)

Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)
Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)
Introduction - Lecture 1 - Human-Computer Interaction (1023841ANR)
 
Indoor Positioning Using the OpenHPS Framework
Indoor Positioning Using the OpenHPS FrameworkIndoor Positioning Using the OpenHPS Framework
Indoor Positioning Using the OpenHPS Framework
 
Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...
Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...
Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...
 
Cross-Media Technologies and Applications - Future Directions for Personal In...
Cross-Media Technologies and Applications - Future Directions for Personal In...Cross-Media Technologies and Applications - Future Directions for Personal In...
Cross-Media Technologies and Applications - Future Directions for Personal In...
 
Bridging the Gap: Managing and Interacting with Information Across Media Boun...
Bridging the Gap: Managing and Interacting with Information Across Media Boun...Bridging the Gap: Managing and Interacting with Information Across Media Boun...
Bridging the Gap: Managing and Interacting with Information Across Media Boun...
 
Codeschool in a Box: A Low-Barrier Approach to Packaging Programming Curricula
Codeschool in a Box: A Low-Barrier Approach to Packaging Programming CurriculaCodeschool in a Box: A Low-Barrier Approach to Packaging Programming Curricula
Codeschool in a Box: A Low-Barrier Approach to Packaging Programming Curricula
 
The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions
The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions
The RSL Hypermedia Metamodel and Its Application in Cross-Media Solutions
 
Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...
Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...
Case Studies and Course Review - Lecture 12 - Information Visualisation (4019...
 
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)Dashboards - Lecture 11 - Information Visualisation (4019538FNR)
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)
 
Interaction - Lecture 10 - Information Visualisation (4019538FNR)
Interaction - Lecture 10 - Information Visualisation (4019538FNR)Interaction - Lecture 10 - Information Visualisation (4019538FNR)
Interaction - Lecture 10 - Information Visualisation (4019538FNR)
 
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019...
 
Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)
Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)
Visualisation Techniques - Lecture 8 - Information Visualisation (4019538FNR)
 
Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...
Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...
Design Guidelines and Principles - Lecture 7 - Information Visualisation (401...
 
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visual...
 
Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)
Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)
Data Presentation - Lecture 5 - Information Visualisation (4019538FNR)
 
Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)
Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)
Analysis and Validation - Lecture 4 - Information Visualisation (4019538FNR)
 
Data Representation - Lecture 3 - Information Visualisation (4019538FNR)
Data Representation - Lecture 3 - Information Visualisation (4019538FNR)Data Representation - Lecture 3 - Information Visualisation (4019538FNR)
Data Representation - Lecture 3 - Information Visualisation (4019538FNR)
 
Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...
Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...
Human Perception and Colour Theory - Lecture 2 - Information Visualisation (4...
 
Introduction - Lecture 1 - Information Visualisation (4019538FNR)
Introduction - Lecture 1 - Information Visualisation (4019538FNR)Introduction - Lecture 1 - Information Visualisation (4019538FNR)
Introduction - Lecture 1 - Information Visualisation (4019538FNR)
 
Towards a Framework for Dynamic Data Physicalisation
Towards a Framework for Dynamic Data PhysicalisationTowards a Framework for Dynamic Data Physicalisation
Towards a Framework for Dynamic Data Physicalisation
 

Último

Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptxmary850239
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 
Presentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxPresentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxRosabel UA
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
Millenials and Fillennials (Ethical Challenge and Responses).pptx
Millenials and Fillennials (Ethical Challenge and Responses).pptxMillenials and Fillennials (Ethical Challenge and Responses).pptx
Millenials and Fillennials (Ethical Challenge and Responses).pptxJanEmmanBrigoli
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfJemuel Francisco
 
Dust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEDust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEaurabinda banchhor
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataBabyAnnMotar
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management systemChristalin Nelson
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 

Último (20)

Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptxINCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 
Presentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxPresentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptx
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
Millenials and Fillennials (Ethical Challenge and Responses).pptx
Millenials and Fillennials (Ethical Challenge and Responses).pptxMillenials and Fillennials (Ethical Challenge and Responses).pptx
Millenials and Fillennials (Ethical Challenge and Responses).pptx
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
 
Dust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEDust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSE
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped data
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management system
 
Paradigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTAParadigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTA
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 

Current and Future Trends in Web Search - Seminar on Web Search

  • 1. Seminar on Web Search Current and Future Trends in Web Search Prof. Beat Signer Department of Computer Science Vrije Universiteit Brussel http://www.beatsigner.com 2 December 2005
  • 2. The Future of the Web  From a Web of documents (e.g. HTML pages) to a Web of structured data and services  semantic web and linked data  cloud computing  enabling technologies - URI, XML, XHTML, RDF and OWL  The Internet as one global machine  interoperability of services  automatic reasoning  The mobile web  access information and services offered by the global machine from everywhere at any time, feed the machine with new data and teach the machine new relationships between data September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 2
  • 3. The Future of the Web ...  Internet of Things  integration of physical objects with the global machine  physical world gets reflected in digital space via sensor input data - RFID, GPS, temperature, ...  information and services managed by the global machine get projected into the physical space via augmented reality  Personal data that is nowadays stored in folders on personal computers might move to the global machine  User interfaces for the global machine  personalised filtering and recommendation of related information based on user profiling and AI technologies  cross-media browsers September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 3
  • 4. The Future of the Web ...  How will documents look like in the future?  graph of linked data  documents as structural view of the linked data  How are the presented ideas related to the approaches introduced earlier?  e.g. Bush's Memex or Nelson's Xanadu  Do we need new publishing models for the creation of linked data to be managed by the machine?  Finally, it is not only about connecting our data, services and machines but we are the machine September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 4
  • 5. The Future of the Internet internet of things security and privacy web of data mobile web self-organisation social computing cloud computing one global machine September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 5
  • 6. The Semantic Web  Meaning of data on the Web can not only be infered by people but also discovered by machines without (or with less) human intervention  Web of data instead of web of documents  the Web as a huge decentralised database (knowledge base)  machine-accessible data  data may be interconnected similar to today's webpages  combination of data from different sources to derive new facts  machine-readable metadata for existing web content  machines (agents) may use logical reasoning to infer facts that are not explicitly recorded  Crucial component of Web 3.0 September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 6
  • 7. Resource Description Framework (RDF)  The Resource Description Framework (RDF) has been designed to describe  data and metadata about specific subjects  structure of data sets  relationships between bits of data  An RDF statement (triple) consists of three parts  subject  predicate (property)  object (value) {person-1, name, "Niklaus Wirth"} subject predicate object September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 7
  • 8. Friend of a Friend (FOAF)  Personal information and connections to friends in RDF  http://www.foaf-project.org <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:foaf="http://xmlns.com/foaf/0.1/"> <foaf:Person> <foaf:name>Beat Signer</foaf:name> <foaf:title>Prof.</foaf:title> <foaf:givenname>Beat</foaf:givenname> <foaf:family_name>Signer</foaf:family_name> <foaf:nick>Beat</foaf:nick> <foaf:mbox_sha1sum>ce6d419869307d57839feef6445a9d64f784eb36</foaf:mbox_sha1sum> ... <foaf:knows> <foaf:Person> <foaf:name>Moira C. Norrie</foaf:name> <foaf:mbox_sha1sum>4cb61b36a6feaa48c78acbb51fcce7cb356afdd6</foaf:mbox_sha1sum> <rdfs:seeAlso rdf:resource="http://www.globis.ethz.ch/people/norrie.rdf"> </foaf:Person> </foaf:knows> ... </foaf:Person> </rdf:RDF> September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 8
  • 9. Friend of a Friend (FOAF) ...  First social Semantic Web application  Miller and Brickley, 2000  Describe a social network without a central database  links can be followed by spiders (data mining)  no unique identifier [http://rdfweb.org/images/foaf/foafnaut-screenshot-path.jpg] - identification by description (pedicates and objects)  "six degrees of separation" or "small world phenomenon"  FOAFNaut browser September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 9
  • 10. Semantic Wikis  Use Semantic Web technologies to provide machine-processable Wiki content  page content  link metadata  Ontology reasoning  Existing semantic Wikis  DBPedia  Semantic MediaWiki  KiWi  ... September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 10
  • 11. Linked Data [http://upload.wikimedia.org/wikipedia/en/8/8c/Lod-datasets_2009-07-14_colored.png]  Web of data instead of Web of documents  Semantic Web  linked data as part of the Semantic Web - based on URI, HTTP and RDF  various applications and search engines already make use of structured data on the Web September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 11
  • 12. Microformats  Add semantics to (X)HTML pages  Makes use of specific (X)HTML tag attributes  class and rel attributes - e.g. rel="nofollow" for search engines  Specific microformats  hCard: contact information  hCalendar: event information  hProduct: product information  Alternative solutions  semantic web (RDFa)  ... September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 12
  • 13. hCard Microformat Example <head profile="http://www.w3.org/2006/03/hcard"> ... </head> ... <div class="vcard"> <div class="fn">Lode Hoste</div> <div class="org">Vrije Universiteit Brussel</div> <div class="tel">32 2629 3306</div> <a class="url" href="http://wise.vub.ac.be/members/lode/"> http://wise.vub.ac.be/members/lode/</a> </div>  Some search engines start to pay attention to different types of microformats (e.g. hProduct) September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 13
  • 14. RDF in Attributes (RDFa)  Add a set of attribute extensions to XHTML for embedding RDF metadata  Different vocabularies  FOAF, video, audio, commerce, …  Search engines (e.g. Yahoo and Google) process certain RDFa metadata (e.g. product information) <p xmlns:dc=http://purl.org/dc/elements/1.1/ about="http://www.amazon.com/..."> and the will to live. <span property="dc:creator">Simpson</span> dedicates the book <cite property="dc:title">Touching the Void</cite> to the... The book was published in <span property="dc:date" content="1989-12-01">December 1989</span>. </p> September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 14
  • 15. GoodRelations  Lightweight ontology for expressing product information in e-commerce web applications  Product features  offers  prices  units  ...  Adopted by various companies  Yahoo  BestBuy  ...  Leads to enhanced product search functionality September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 15
  • 16. Wolfram Alpha  Semantic search engine  Searches and computes answers based on curated set of structured data  Complements traditional search engines September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 16
  • 17. Location-Based Search  Use contextual information about a person's or object's position as part of a query  Different possibilities to get a client's position  (manually entered by user)  Global Positioning System (GPS)  Wi-Fi signal strength  cell phone tower triangulation,  RFID tags  ...  Potential applications include  navigation services, tracking services (e.g. parcels), location-based advertising, recommender systems (e.g. nearby restaurants), augmented reality search, ... September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 17
  • 18. Geotagging of Digital Resources  Add geographical metadata (latitude, longitude) to different types of media  websites - e.g. special Geo microformat  photographs  videos  RSS feeds  ...  Metadata can be added manually or automatically  e.g. recent digital cameras automatically geotag new pictures September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 18
  • 19. Location-Based Search  Location-based queries for nearby services and route finding  e.g. Google maps  map-based data fusion  Location-aware querying can be combined with social networking  e.g. foursquare  check-in at specific places and get tips from colleagues  what about privacy? September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 19
  • 20. Augmented Reality Search  The WIKITUDE World browser presents information about nearby physical landmarks as well as content added by other users  Real-time augmentation of mobile phone camera view  WIKITUDE.me authoring tool to add points of interest  WIKITUDE API for augmented reality applications  Available for different types of mobile phones  Android, iPhone, ... September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 20
  • 21. Audio-Based Search  Audio search engines use acoustic fingerprints of recorded audio samples  use mobile phone micro- phone to record a few seconds of a song  send query to server  e.g. SoundHound or Shazam  Query by Humming (QbH)  find similar songs based on a hummed melody  e.g. musipedia September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 21
  • 22. Internet of Things  In the future we will see more and more network- or Internet-enabled physical objects  Physical objects get linked to digital information and services offered in the cloud  How many objects will there be?  estimates of 100'000 billion and more objects  Is a simple tagging via RFID tags or barcodes enough?  e.g. Barcode Hero or RedLaser  what if only a part of an object should be linked to data?  Is the simple mapping to a web presence (URI) enough? September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 22
  • 23. Paper-Based Search  Interactive festival guide for the Edinburgh Festival Fringe  Multimodal interface  digital pen input  voice (input) and output  Augmented paper with digital query functionality  "button"-based queries  map-based queries  advanced query interface via paper bookmark September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 23
  • 24. EdFest Documents September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 24
  • 25. Image-Based Search  Reverse image search engines to find different versions of an image  e.g. TinEye  Image-based querying of textual information  e.g. Google Goggles  Image retrieval with face recognition  e.g. Flickr  what about privacy if used on a global scale? September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 25
  • 26. Personalisation  To deal with the sheer amount of data, we can apply semantic filtering and recommedation on the web of data  The filtering and recommendation can be based on  personal profiling - monitoring a user's interaction with the global machine  social profiling - investigate a user's social network  item classication - find similar items based on intrinsic properties as well as collaborative annotations September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 26
  • 27. Social Search  Web search that makes use of the Social Graph for result ranking  e.g. Google Social Search  comments and input from friends  note the similarity to PageRank  Queries can also be outsourced to colleagues via Twitter, Facebook etc. September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 27
  • 28. Social Bookmarking  Social bookmarking services  store bookmarks and access them from different browsers  share and discover book- marks  e.g. delicious  Non-hierarchical classi- fication based on tags  Social bookmarking services provide additional metadata that can be used to improve search engine ranking algorithms September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 28
  • 29. The Google Effect  A recent study by Sparrow et al. shows that people less likely remember things that they believe to be accessible online  Internet as a transactive memory  Does our memory work differently in the age of Google?  What implications will the future of the Internet and new search have? September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 29
  • 30. Conclusions  Rapidly changing environment with innovative non- textual query interfaces  semantic web, mobile applications, Internet of Things, ...  market for many specialised search engines  Technology brings new challenges for search engines  e.g. increase in hidden data via Rich Internet applications (RIAs)  Growing amount of semantic data  reasoning over linked data  Integration of results from different query engines  e.g. Open Search and other initiatives  One global machine ... September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 30
  • 31. References  The Friend of a Friend Project  http://www.foaf-project.org  DBpedia  http://dbpedia.org  Linked Data  http://linkeddata.org  GoodRelations  http://www.heppnetz.de/projects/goodrelations/  Foursquare  https://foursquare.com September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 31
  • 32. References ...  Wolfram Alpha  http://www.wolframalpha.com  Wikitude  http://www.wikitude.com  SoundHound  http://www.soundhound.com  Musipedia  http://www.musipedia.org  TineEye  http://www.tineye.com September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 32
  • 33. References ...  Delicious  http://www.delicious.com  B. Signer, Fundamental Concepts for Interactive Paper and Cross-Media Information Spaces, ISBN 978-3-8370-2713-6, May 2008  B. Sparrow, J. Liu and D.M. Wegner, Google Effects on Memory: Cognitive Consequences of Having Information at Our Fingertips, Science, July 2011 September 12, 2011 Beat Signer - Department of Computer Science - bsigner@vub.ac.be 33