SlideShare uma empresa Scribd logo
1 de 79
Baixar para ler offline
AppliedTrends




                                                02
                                  Pic and Mix




                                                .0
                                                   6 .0
                                                        9
        Introduction
       Presenter:
       Scott Gavin,
       Applied Trends

       sgavin@appliedtrends.com
       01843 598633




      Pilot project introduction and tutorials
AppliedTrends




                              Agenda


  1       Introduction
  2       Mashups 101
  3       Available Data
  4       IBM Mashup Center
  5       Demonstrations
AppliedTrends



                           Introduction
        Section 1.0

        Why is KCC
        doing this and
        what’s in it for
        my business?




          Pic and Mix Intro and Background
AppliedTrends



                   What is Pic and Mix?




                KCC are releasing data sets in a
                standard format via the internet for
                businesses to use to create new
                information sources and services
AppliedTrends



                What sort of data?




         A combination of statistics, FOI act
         data, interesting figures......plus on
         demand data
AppliedTrends



                    The Bigger Picture




            ★ Starting a move to a self service model
            ★ Greater transparency
            ★ Empowering businesses and individuals
                with information
            ★   The start of a new era
AppliedTrends



          Supporting the vision of Gov 2.0




                                  http://gov2summit.com




 “Over the past fifteen years, the rise of the World
 Wide Web has resulted in remarkable new
 possibilities and business models reshaping our
 culture and our economy. Now the time has come
 to reshape government.”
AppliedTrends



                Aligning with other Countries




                                                             http://data.gov



 The purpose of Data.gov is to increase public access to high value, machine
 readable datasets generated by the Executive Branch of the Federal
 Government. Although the initial launch of Data.gov provides a limited portion
 of the rich variety of Federal datasets presently available, we invite you to
 actively participate in shaping the future of Data.gov by suggesting additional
 datasets and site enhancements to provide seamless access and use of your
 Federal data.
AppliedTrends



                   The Pic and Mix Pilot




      ★ Real innovation being followed by other
                councils
      ★         An opportunity to shape national efforts
      ★         An opportunity to strengthen ties
                between businesses, individuals and
                public sector
AppliedTrends



                  Notes about this session
                       and the pilot



      ★ An introduction to the system, a first step
      ★ We’re relying on feedback and
                partnership
      ★         We need to think openly about the
                concept and not focus on the content or
                technology
Pic and Mix Community
         Site
AppliedTrends



                       Mashups
                              http://chicago.everyblock.com

        Section 2.0
        A quick look
        at what
        mashups are
        and how they
        are built.
        More later.




                 Introduction to Mashups
AppliedTrends


                            Mashups


        Mix Data
        ★ create new
         data or services

        ★ new insights
        ★ use APIs or
         public data




     A “mashup” is a lightweight web application created by
     combining information or capabilities from more than
     one existing source to deliver new functions & insights.
AppliedTrends


                         Characteristics


           Creation             Skills & Data      Sharing
           ★ Rapid creation     ★ Requires less    ★ Often web
            (days not           technical skills   based
            months)             ★ Often mixes      ★ Usually
           ★ Reuses              internal and       shared via the
            existing             external           browser with
            capabilities, but    sources            other users
            delivers new
            functions +
            insights
AppliedTrends



                     Mashups
    Data Source: A
    (feed)

                      mash/combine      Results




    Data Source: B
    (feed)




                      (+ use widgets)
                                            Wow
AppliedTrends



                     Mashups


                     filter/arrange
    Data Source: A                     Presentation
    (feed)




                     (+ use widgets)

                                              Nice
AppliedTrends



                         Feeds
        Section 2.2
        Discover the
        building
        blocks of
        Mashups and
        where to find
        them




                Web feeds, RSS, Atom etc...
AppliedTrends



                    Feeds




   ★ A web feed is a data format used for
     providing users with frequently updated
     content
   ★ Users can subscribe to RSS or ATOM via the
     feed reader in browsers
AppliedTrends



                      Feeds




      ★ Feeds emerging as a common way for
        organizations to expose existing
        enterprise data to be consumable
      ★ Feeds can be created from enterprise,
        departmental and personal sources like
        Excel, databases or web sources
AppliedTrends




          Feeds, Feeds and more Feeds




Feeds are the
building blocks
of mashups

                No feeds = no data = no mashing
AppliedTrends



                         Finding Feeds on the
                          Web and In-House
        http://www.programmableweb.com




 Websites like                           RSS Feeds (i.e.   Your own Excel or
 Programmableweb                         BBC News)         database data
AppliedTrends



                         Widgets
        Section 2.1

        How widgets
        can be used
        with and for
        mashups




                Wigdets in relation to Mashups
AppliedTrends



                         Widgets
                          a.k.a Gadgets




           A widget is a small application or piece of
           dynamic content that can be easily placed
           into a web page
AppliedTrends


                   Widgets
                (Pic and Mix)



  Widgets can be used in
  Mashup platforms to pass
  and transform data data

 These “Mashable” widgets pass events, so that
 they can be wired together to create something
 new
AppliedTrends



                    Summary




          FEEDS GO INTO MASHUPS


          WIDGETS CAN BE USED IN MASHUPS
AppliedTrends




                Mashup Discussion
        Section 2.3
        So what are
        mashups and
        can I see some
        examples on
        the web?




           Example mashups, inspiration and
                    explanation
AppliedTrends



                Types of Mashup




          Consumer Mashup and Data Mashup
AppliedTrends


                                 Mashup Examples

       http://www.stupeflix.com/wikivideos/stupeflix/                                   http://www.programmableweb.com


                                                      http://chicago.everyblock.com




     Mashing: WikiPedia, Flickr, Google Maps,
     Crime Data, Events, Gov Data...
AppliedTrends



                    HealthMap




         19 feeds overlaid on Google Maps
AppliedTrends



                Official Data Mashup




                Land Registry + nestoria
AppliedTrends



                Stupeflix Wiki Videos




          Wikipedia pictures > Video Engine >
          Presentation
AppliedTrends



                    Hungry for More?

    http://chicago.everyblock.com   http://www.programmableweb.com




  Crime data on                     More mashups and
  Google Maps                       feeds than you can
                                    shake a stick at
AppliedTrends



                 Data Mashups

 Informational, not
 necessarily ‘pretty’

  ★ Combine sets of data
  ★ Create new useful
  information
  ★ Provide quick access to
  disparate data
  ★ Analyze trends
  ★ Make decisions
  ★ Building blocks to
  consumer/business
  mashups
AppliedTrends


                Preview of Initial Pic and
                      Mix Mashups




Kent TV and KCC
Properties
AppliedTrends



                    Available Data
        Section 3.0
       Review the data
       currently
       available via
       the mashup
       platform




          A look at the data currently available
AppliedTrends




                                            ca
                                              ta
                 Business Link Kent




                                                lo
                                                   g
                   Directory Data




            Listing of Kent businesses by
            category including addresses
AppliedTrends




                                          ca
                                            ta
                                              lo
                 Largest Private




                                                 g
                Employers in Kent




       The top ten largest employers by
       turnover by district
AppliedTrends




                                          ca
                                            ta
                                              lo
                  Employment




                                                 g
       Employment details and statistics by
       district
AppliedTrends




                                              ca
                                                ta
                                                  lo
                  Kent Schools




                                                     g
       Details of schools in Kent including
       names of head teachers and age
       range served. Source: OPSI
AppliedTrends




                                          ca
                                            ta
                                              lo
                 KCC Property




                                                 g
       Details of all the property owned by
       KCC - by property type and location.
       Source - KCC
AppliedTrends




                                          ca
                                            ta
                Kent Business Directory




                                              lo
                                                 g
                      Categories




      Categories (SIC) codes from the BLK
      spreadsheet. First row is the Type ID
      (numeric) the second row is the
      description
AppliedTrends




                                           ca
                                             ta
                                               lo
                Population Data




                                                  g
      Population data by age, gender and
      area
AppliedTrends




                                          ca
                                            ta
                                              lo
                  Exam results and




                                                 g
                university applications




      GCSE results and university
      applications
AppliedTrends




                                         ca
                                           ta
                                             lo
                Property Information




                                                g
      Council Tax details and house prices
      Source - KCC
AppliedTrends




                                           ca
                                             ta
                                               lo
                Crime Statistics




                                                  g
      Crime figures for 2007-2008 by type
      and district
AppliedTrends




                                       ca
                                         ta
                                           lo
                Contract Store




                                              g
     Dummy information on contracts
     awarded by KCC including amount
     and tender details
AppliedTrends




                                             ca
                                               ta
                                                 lo
                District Profile Data




                                                    g
       Multiple categories of data ranging
       from population, employment, car
       ownership and unemployment
AppliedTrends




                                    tip




                                                    di
                                     :s




                                                      st
                                          ea




                                                       ric
                                          rc
                District: Unemployment




                                             h




                                                         t
                                               fo
                                                 r‘
                  by Occupation 2001




                                                 29
                                                    .0
                                                      6.
                                                        20
                                                        09
                                                             ’
      Split from the main District Profile
      data
AppliedTrends




                                    tip




                                                    di
                                      :s




                                                      st
                                          ea




                                                       ric
                                          rc
                District: KCC GCSE




                                             h




                                                         t
                                               fo
                                                 r‘
                Results 2005 - 2006




                                                 29
                                                    .0
                                                      6.
                                                        20
                                                        09
                                                             ’
      Split from the main District Profile
      data
AppliedTrends




                                     tip




                                                     di
                                      :s




                                                       st
                                           ea




                                                        ric
                                           rc
                District: Successful Uni




                                              h




                                                          t
                                                fo
                                                  r‘
                  Applications Aged




                                                  29
                                                     .0
                                                       6.
                                                         20
                       18-19 1998




                                                         09
                                                              ’
      Split from the main District Profile
      data
AppliedTrends




                                    tip




                                                    di
                                     :s




                                                      st
                                          ea




                                                       ric
                                          rc
                  District: Average




                                             h




                                                         t
                                               fo
                                                 r‘
                Unemployment Rates




                                                 29
                                                    .0
                                                      6.
                                                        20
                                                        09
                                                             ’
      Split from the main District Profile
      data
AppliedTrends




                                    tip




                                                    di
                                     :s




                                                      st
                                          ea




                                                       ric
                                          rc
                District: Employment




                                             h




                                                         t
                                               fo
                                                 r‘
                   Structure 1995




                                                 29
                                                    .0
                                                      6.
                                                        20
                                                        09
                                                             ’
      Split from the main District Profile
      data
AppliedTrends




                                    tip




                                                    di
                                     :s




                                                      st
                                          ea




                                                       ric
                                          rc
                District: Occupational




                                             h




                                                         t
                                               fo
                                                 r‘
                   Structure 2001




                                                 29
                                                    .0
                                                      6.
                                                        20
                                                        09
                                                             ’
      Split from the main District Profile
      data
AppliedTrends




                                           re
                                             qu
                                             es
                What’s Missing?




                                              ts
     This is only the beginning and more
     data is on the way.

     You can request specific data.
AppliedTrends




                                               id
                     Discussion and




                                                  e
                                                 as
                       Brainstorm




                Based on what you’ve seen do
                you have any mashup ideas?

                Or maybe you want to discuss
                a mashup in more detail?
AppliedTrends



                   Mashup Center
        Section 4.0
       So how do we
       actually create
       mashups and is
       it difficult?




         A look at the IBM Mashup Center,
         provisioned for the Pic and Mix Pilot
AppliedTrends




         Accessing the Platform
AppliedTrends



                    IBM Mashup Center
          Mashup Center (Canvas)

                Create and edit mashups

                Share and export

                                          Catalog     Mashup Hub


                                             Create and combine feeds

                                             New and existing sources
AppliedTrends




                                                                 di
                                                                   sc
                                                                   ov
                                                                     er
          Mashup Center (Canvas)

                Create and edit mashups

                Share and export

                                          Catalog     Mashup Hub


                                             Create and combine feeds

                                             New and existing sources
AppliedTrends




                                                                              di
                               Catalog




                                                                              sc
                                                                               ov
                                                                                 er
A single central catalog for
    feeds and widgets



                                  Tagging and Rating
                               promotes collaboration, re-
                                  use, and self service




                                                             Navigation and
                                                             categorization
AppliedTrends




                                                             di
                             Catalog




                                                             sc
                                                              ov
                                                                er
                             here
                here
                                                    here




                Access any search box to reach the catalog
AppliedTrends




                                                  di
                      Note: Catalog




                                                    sc
                                                        ov
                                                          er
        Publish Yours
        ★ discover feeds
        ★ view descriptions
        ★ previews
        ★ discussions
        ★ promotion
        ★ best examples




    Feed and mashup catalog to be surfaced in Pic and
    Mix community site for discussion, promotion and
    annotation
AppliedTrends




                                                                as
                    IBM Mashup Center




                                                                  se
                                                                    m
                                                                        bl
                                                                          e
          Mashup Center (Canvas)

                Create and edit mashups

                Share and export

                                          Catalog     Mashup Hub


                                             Create and combine feeds

                                             New and existing sources
AppliedTrends




                                                       as
                  Get Your Feeds




                                                         se
                                                            m
                                                              bl
                                                                e
    1. find feed




                                             2. add to your canvas




     Get some data onto your canvas ready for mashing
AppliedTrends




                                                as
                                                  se
    Mashup Center (Canvas)




                                                  m
                                                   bl
                                                     e
                See why we call it a canvas!?
AppliedTrends




                                                              as
   Mashup Center (Canvas)




                                                                se
                                                                  m
                                                                 bl
                                                                   e
                The feeds you ‘add’ are kept in the drawers
AppliedTrends




                                                             as
  Mashup Center (Canvas)




                                                               se
                                                                 m
                                                                bl
                                                                  e
                The ‘widgets’ are also kept in the drawers
AppliedTrends




                                                             as
                                                               se
  Mashup Center (Canvas)




                                                                 m
                                                                bl
                                                                  e
                Drag your feeds and widgets to your canvas
AppliedTrends




                                                     as
                                                       se
  Mashup Center (Canvas)




                                                         m
                                                          bl
                                                            e
      The feeds and widgets are now ready to be ‘wired’
AppliedTrends




                                                    as
  Mashup Center (Canvas)




                                                      se
                                                        m
                                                           bl
                                                             e
 Select what to send, and what to receive for your feeds
                      and widgets
AppliedTrends




                                                               de l
                                                                 ve oc
                                                                   un
                                                                   lo k
                                                                     p
                                                                       &
          Mashup Center (Canvas)

                Create and edit mashups

                Share and export

                                          Catalog     Mashup Hub


                                             Create and combine feeds

                                             New and existing sources
AppliedTrends




                                         de unl
                Mashup Hub




                                           ve oc
                                             lo k
                                               p
                                                 &
        Access the catalog, create and mash
        feeds
AppliedTrends




                                       de unl
                                         ve oc
Mashup Hub - New Feed




                                           lo k
                                             p
                                               &
        Unlock Data
        ★ personal data
        ★ business data
        ★ customer data
        ★ excel, database
        ★ web service
        ★ structured and
         unstructured
         sources



      mash KCC data with your own to create
      new products and information resources
AppliedTrends




                                              de unl
                  Note: Feeds




                                                ve oc
                                                  lo k
                                                    p
                                                      &
  Find KCC feeds OR   Get the URL   Use anywhere on the
  Create new feeds                         web
AppliedTrends




                                                                tr
                                                                 an
                                                                   sfo
                                                                        rm
          Mashup Center (Canvas)

                Create and edit mashups

                Share and export

                                          Catalog     Mashup Hub


                                             Create and combine feeds

                                             New and existing sources
AppliedTrends




                                                                               tr
                                                                                 an
Mashup Hub - Mash Feeds




                                                                                       sfo
                                                                                        rm
                                                      Mash multiple sources into new
                                                                  feeds




                                                         76




       Fast and easy, but powerful,       Output in RSS, ATOM or XML
      visual editor for precise control      based on consuming
          over information flows             application or widget
AppliedTrends



                Creating Mashups

                                            Develop &
                                             Unlock
           Assemble
                             Share &
                             Manage    77




                                        Discover

                 Transform
AppliedTrends



                   Demonstrations
        Section 5.0
       Let’s try a few
       simple
       scenarios and
       mashups




                Switch to IBM Mashup Center
AppliedTrends



                 Credits




     Content developed and delivered by
   Applied Trends on behalf of Kent County
     Council to support the Pic and Mix
                  initiative
                       contact: sgavin@appliedtrends.com

Mais conteúdo relacionado

Semelhante a KCC PIC AND MIX MASHUP INTRODUCTION

OpenNASA v2.0 Slideshare Large File
OpenNASA v2.0 Slideshare   Large FileOpenNASA v2.0 Slideshare   Large File
OpenNASA v2.0 Slideshare Large File
Megan Eskey
 
W2.0 Expo - Heid Mashups - Sept 18, 2008
W2.0 Expo - Heid Mashups - Sept 18, 2008W2.0 Expo - Heid Mashups - Sept 18, 2008
W2.0 Expo - Heid Mashups - Sept 18, 2008
Mark Heid
 
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101
Mithun T. Dhar
 
SendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingSendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data Warehousing
Amazon Web Services
 
Becoming a data driven organization
Becoming a data driven organization Becoming a data driven organization
Becoming a data driven organization
Magnus Backman
 
Cloud Computing Impact On Small Business
Cloud Computing Impact On Small BusinessCloud Computing Impact On Small Business
Cloud Computing Impact On Small Business
David Linthicum
 
IBM Smarter Analytics
IBM Smarter AnalyticsIBM Smarter Analytics
IBM Smarter Analytics
Adrian Turcu
 

Semelhante a KCC PIC AND MIX MASHUP INTRODUCTION (20)

Pic and Mix Mashup Training Introduction
Pic and Mix Mashup Training IntroductionPic and Mix Mashup Training Introduction
Pic and Mix Mashup Training Introduction
 
OpenNASA v2.0 Slideshare Large File
OpenNASA v2.0 Slideshare   Large FileOpenNASA v2.0 Slideshare   Large File
OpenNASA v2.0 Slideshare Large File
 
Big data an elephant business opportunities
Big data an elephant   business opportunitiesBig data an elephant   business opportunities
Big data an elephant business opportunities
 
W2.0 Expo - Heid Mashups - Sept 18, 2008
W2.0 Expo - Heid Mashups - Sept 18, 2008W2.0 Expo - Heid Mashups - Sept 18, 2008
W2.0 Expo - Heid Mashups - Sept 18, 2008
 
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101
 
Convertigo Composite Application Platform
Convertigo Composite Application PlatformConvertigo Composite Application Platform
Convertigo Composite Application Platform
 
S18
S18S18
S18
 
SendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingSendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data Warehousing
 
BIG Data & Hadoop Applications in Social Media
BIG Data & Hadoop Applications in Social MediaBIG Data & Hadoop Applications in Social Media
BIG Data & Hadoop Applications in Social Media
 
Becoming a data driven organization
Becoming a data driven organization Becoming a data driven organization
Becoming a data driven organization
 
Cloud Computing Impact On Small Business
Cloud Computing Impact On Small BusinessCloud Computing Impact On Small Business
Cloud Computing Impact On Small Business
 
IBM Smarter Analytics
IBM Smarter AnalyticsIBM Smarter Analytics
IBM Smarter Analytics
 
The JBoss Way, the Added Value of Open Source Middleware
The JBoss Way, the Added Value of Open Source MiddlewareThe JBoss Way, the Added Value of Open Source Middleware
The JBoss Way, the Added Value of Open Source Middleware
 
Open Source Ecosystem Future of Enterprise IT
Open Source Ecosystem Future of Enterprise ITOpen Source Ecosystem Future of Enterprise IT
Open Source Ecosystem Future of Enterprise IT
 
Introduction to Knowledge Graphs and Semantic AI
Introduction to Knowledge Graphs and Semantic AIIntroduction to Knowledge Graphs and Semantic AI
Introduction to Knowledge Graphs and Semantic AI
 
Using Drupal 8 + D3 + Arduino to Create Real World Solutions
Using Drupal 8 + D3 + Arduino to Create Real World SolutionsUsing Drupal 8 + D3 + Arduino to Create Real World Solutions
Using Drupal 8 + D3 + Arduino to Create Real World Solutions
 
Hadoop in the Cloud
Hadoop in the CloudHadoop in the Cloud
Hadoop in the Cloud
 
Ten Things Every Tech Savvy Exec Should Know
Ten Things Every Tech Savvy Exec Should KnowTen Things Every Tech Savvy Exec Should Know
Ten Things Every Tech Savvy Exec Should Know
 
How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...
How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...
How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...
 
Beyond The Intranet: Digital Workplace Apps, Solutions & Bots
Beyond The Intranet: Digital Workplace Apps, Solutions & BotsBeyond The Intranet: Digital Workplace Apps, Solutions & Bots
Beyond The Intranet: Digital Workplace Apps, Solutions & Bots
 

Mais de Scott Gavin

Mais de Scott Gavin (7)

Zombie Apocalypse Survival Guide
Zombie Apocalypse Survival GuideZombie Apocalypse Survival Guide
Zombie Apocalypse Survival Guide
 
Knowledge and Content UK 2009 (KCUK) presentation and case study
Knowledge and Content UK 2009 (KCUK) presentation and case studyKnowledge and Content UK 2009 (KCUK) presentation and case study
Knowledge and Content UK 2009 (KCUK) presentation and case study
 
Meet Charlotte - Acme Pharmaceuticals
Meet Charlotte - Acme PharmaceuticalsMeet Charlotte - Acme Pharmaceuticals
Meet Charlotte - Acme Pharmaceuticals
 
Knowledge Plaza Case Study for Online Information 2008
Knowledge Plaza Case Study for Online Information 2008Knowledge Plaza Case Study for Online Information 2008
Knowledge Plaza Case Study for Online Information 2008
 
Charlie Goes Mobile - Enterprise 2.0 on the road
Charlie Goes Mobile - Enterprise 2.0 on the roadCharlie Goes Mobile - Enterprise 2.0 on the road
Charlie Goes Mobile - Enterprise 2.0 on the road
 
An Enterprise 2.0 case study
An Enterprise 2.0 case studyAn Enterprise 2.0 case study
An Enterprise 2.0 case study
 
Meet Charlie - what is Enterprise2.0?
Meet Charlie - what is Enterprise2.0?Meet Charlie - what is Enterprise2.0?
Meet Charlie - what is Enterprise2.0?
 

Último

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 

Último (20)

Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 

KCC PIC AND MIX MASHUP INTRODUCTION

  • 1. AppliedTrends 02 Pic and Mix .0 6 .0 9 Introduction Presenter: Scott Gavin, Applied Trends sgavin@appliedtrends.com 01843 598633 Pilot project introduction and tutorials
  • 2. AppliedTrends Agenda 1 Introduction 2 Mashups 101 3 Available Data 4 IBM Mashup Center 5 Demonstrations
  • 3. AppliedTrends Introduction Section 1.0 Why is KCC doing this and what’s in it for my business? Pic and Mix Intro and Background
  • 4. AppliedTrends What is Pic and Mix? KCC are releasing data sets in a standard format via the internet for businesses to use to create new information sources and services
  • 5. AppliedTrends What sort of data? A combination of statistics, FOI act data, interesting figures......plus on demand data
  • 6. AppliedTrends The Bigger Picture ★ Starting a move to a self service model ★ Greater transparency ★ Empowering businesses and individuals with information ★ The start of a new era
  • 7. AppliedTrends Supporting the vision of Gov 2.0 http://gov2summit.com “Over the past fifteen years, the rise of the World Wide Web has resulted in remarkable new possibilities and business models reshaping our culture and our economy. Now the time has come to reshape government.”
  • 8. AppliedTrends Aligning with other Countries http://data.gov The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government. Although the initial launch of Data.gov provides a limited portion of the rich variety of Federal datasets presently available, we invite you to actively participate in shaping the future of Data.gov by suggesting additional datasets and site enhancements to provide seamless access and use of your Federal data.
  • 9. AppliedTrends The Pic and Mix Pilot ★ Real innovation being followed by other councils ★ An opportunity to shape national efforts ★ An opportunity to strengthen ties between businesses, individuals and public sector
  • 10. AppliedTrends Notes about this session and the pilot ★ An introduction to the system, a first step ★ We’re relying on feedback and partnership ★ We need to think openly about the concept and not focus on the content or technology
  • 11. Pic and Mix Community Site
  • 12. AppliedTrends Mashups http://chicago.everyblock.com Section 2.0 A quick look at what mashups are and how they are built. More later. Introduction to Mashups
  • 13. AppliedTrends Mashups Mix Data ★ create new data or services ★ new insights ★ use APIs or public data A “mashup” is a lightweight web application created by combining information or capabilities from more than one existing source to deliver new functions & insights.
  • 14. AppliedTrends Characteristics Creation Skills & Data Sharing ★ Rapid creation ★ Requires less ★ Often web (days not technical skills based months) ★ Often mixes ★ Usually ★ Reuses internal and shared via the existing external browser with capabilities, but sources other users delivers new functions + insights
  • 15. AppliedTrends Mashups Data Source: A (feed) mash/combine Results Data Source: B (feed) (+ use widgets) Wow
  • 16. AppliedTrends Mashups filter/arrange Data Source: A Presentation (feed) (+ use widgets) Nice
  • 17. AppliedTrends Feeds Section 2.2 Discover the building blocks of Mashups and where to find them Web feeds, RSS, Atom etc...
  • 18. AppliedTrends Feeds ★ A web feed is a data format used for providing users with frequently updated content ★ Users can subscribe to RSS or ATOM via the feed reader in browsers
  • 19. AppliedTrends Feeds ★ Feeds emerging as a common way for organizations to expose existing enterprise data to be consumable ★ Feeds can be created from enterprise, departmental and personal sources like Excel, databases or web sources
  • 20. AppliedTrends Feeds, Feeds and more Feeds Feeds are the building blocks of mashups No feeds = no data = no mashing
  • 21. AppliedTrends Finding Feeds on the Web and In-House http://www.programmableweb.com Websites like RSS Feeds (i.e. Your own Excel or Programmableweb BBC News) database data
  • 22. AppliedTrends Widgets Section 2.1 How widgets can be used with and for mashups Wigdets in relation to Mashups
  • 23. AppliedTrends Widgets a.k.a Gadgets A widget is a small application or piece of dynamic content that can be easily placed into a web page
  • 24. AppliedTrends Widgets (Pic and Mix) Widgets can be used in Mashup platforms to pass and transform data data These “Mashable” widgets pass events, so that they can be wired together to create something new
  • 25. AppliedTrends Summary FEEDS GO INTO MASHUPS WIDGETS CAN BE USED IN MASHUPS
  • 26. AppliedTrends Mashup Discussion Section 2.3 So what are mashups and can I see some examples on the web? Example mashups, inspiration and explanation
  • 27. AppliedTrends Types of Mashup Consumer Mashup and Data Mashup
  • 28. AppliedTrends Mashup Examples http://www.stupeflix.com/wikivideos/stupeflix/ http://www.programmableweb.com http://chicago.everyblock.com Mashing: WikiPedia, Flickr, Google Maps, Crime Data, Events, Gov Data...
  • 29. AppliedTrends HealthMap 19 feeds overlaid on Google Maps
  • 30. AppliedTrends Official Data Mashup Land Registry + nestoria
  • 31. AppliedTrends Stupeflix Wiki Videos Wikipedia pictures > Video Engine > Presentation
  • 32. AppliedTrends Hungry for More? http://chicago.everyblock.com http://www.programmableweb.com Crime data on More mashups and Google Maps feeds than you can shake a stick at
  • 33. AppliedTrends Data Mashups Informational, not necessarily ‘pretty’ ★ Combine sets of data ★ Create new useful information ★ Provide quick access to disparate data ★ Analyze trends ★ Make decisions ★ Building blocks to consumer/business mashups
  • 34. AppliedTrends Preview of Initial Pic and Mix Mashups Kent TV and KCC Properties
  • 35. AppliedTrends Available Data Section 3.0 Review the data currently available via the mashup platform A look at the data currently available
  • 36. AppliedTrends ca ta Business Link Kent lo g Directory Data Listing of Kent businesses by category including addresses
  • 37. AppliedTrends ca ta lo Largest Private g Employers in Kent The top ten largest employers by turnover by district
  • 38. AppliedTrends ca ta lo Employment g Employment details and statistics by district
  • 39. AppliedTrends ca ta lo Kent Schools g Details of schools in Kent including names of head teachers and age range served. Source: OPSI
  • 40. AppliedTrends ca ta lo KCC Property g Details of all the property owned by KCC - by property type and location. Source - KCC
  • 41. AppliedTrends ca ta Kent Business Directory lo g Categories Categories (SIC) codes from the BLK spreadsheet. First row is the Type ID (numeric) the second row is the description
  • 42. AppliedTrends ca ta lo Population Data g Population data by age, gender and area
  • 43. AppliedTrends ca ta lo Exam results and g university applications GCSE results and university applications
  • 44. AppliedTrends ca ta lo Property Information g Council Tax details and house prices Source - KCC
  • 45. AppliedTrends ca ta lo Crime Statistics g Crime figures for 2007-2008 by type and district
  • 46. AppliedTrends ca ta lo Contract Store g Dummy information on contracts awarded by KCC including amount and tender details
  • 47. AppliedTrends ca ta lo District Profile Data g Multiple categories of data ranging from population, employment, car ownership and unemployment
  • 48. AppliedTrends tip di :s st ea ric rc District: Unemployment h t fo r‘ by Occupation 2001 29 .0 6. 20 09 ’ Split from the main District Profile data
  • 49. AppliedTrends tip di :s st ea ric rc District: KCC GCSE h t fo r‘ Results 2005 - 2006 29 .0 6. 20 09 ’ Split from the main District Profile data
  • 50. AppliedTrends tip di :s st ea ric rc District: Successful Uni h t fo r‘ Applications Aged 29 .0 6. 20 18-19 1998 09 ’ Split from the main District Profile data
  • 51. AppliedTrends tip di :s st ea ric rc District: Average h t fo r‘ Unemployment Rates 29 .0 6. 20 09 ’ Split from the main District Profile data
  • 52. AppliedTrends tip di :s st ea ric rc District: Employment h t fo r‘ Structure 1995 29 .0 6. 20 09 ’ Split from the main District Profile data
  • 53. AppliedTrends tip di :s st ea ric rc District: Occupational h t fo r‘ Structure 2001 29 .0 6. 20 09 ’ Split from the main District Profile data
  • 54. AppliedTrends re qu es What’s Missing? ts This is only the beginning and more data is on the way. You can request specific data.
  • 55. AppliedTrends id Discussion and e as Brainstorm Based on what you’ve seen do you have any mashup ideas? Or maybe you want to discuss a mashup in more detail?
  • 56. AppliedTrends Mashup Center Section 4.0 So how do we actually create mashups and is it difficult? A look at the IBM Mashup Center, provisioned for the Pic and Mix Pilot
  • 57. AppliedTrends Accessing the Platform
  • 58. AppliedTrends IBM Mashup Center Mashup Center (Canvas) Create and edit mashups Share and export Catalog Mashup Hub Create and combine feeds New and existing sources
  • 59. AppliedTrends di sc ov er Mashup Center (Canvas) Create and edit mashups Share and export Catalog Mashup Hub Create and combine feeds New and existing sources
  • 60. AppliedTrends di Catalog sc ov er A single central catalog for feeds and widgets Tagging and Rating promotes collaboration, re- use, and self service Navigation and categorization
  • 61. AppliedTrends di Catalog sc ov er here here here Access any search box to reach the catalog
  • 62. AppliedTrends di Note: Catalog sc ov er Publish Yours ★ discover feeds ★ view descriptions ★ previews ★ discussions ★ promotion ★ best examples Feed and mashup catalog to be surfaced in Pic and Mix community site for discussion, promotion and annotation
  • 63. AppliedTrends as IBM Mashup Center se m bl e Mashup Center (Canvas) Create and edit mashups Share and export Catalog Mashup Hub Create and combine feeds New and existing sources
  • 64. AppliedTrends as Get Your Feeds se m bl e 1. find feed 2. add to your canvas Get some data onto your canvas ready for mashing
  • 65. AppliedTrends as se Mashup Center (Canvas) m bl e See why we call it a canvas!?
  • 66. AppliedTrends as Mashup Center (Canvas) se m bl e The feeds you ‘add’ are kept in the drawers
  • 67. AppliedTrends as Mashup Center (Canvas) se m bl e The ‘widgets’ are also kept in the drawers
  • 68. AppliedTrends as se Mashup Center (Canvas) m bl e Drag your feeds and widgets to your canvas
  • 69. AppliedTrends as se Mashup Center (Canvas) m bl e The feeds and widgets are now ready to be ‘wired’
  • 70. AppliedTrends as Mashup Center (Canvas) se m bl e Select what to send, and what to receive for your feeds and widgets
  • 71. AppliedTrends de l ve oc un lo k p & Mashup Center (Canvas) Create and edit mashups Share and export Catalog Mashup Hub Create and combine feeds New and existing sources
  • 72. AppliedTrends de unl Mashup Hub ve oc lo k p & Access the catalog, create and mash feeds
  • 73. AppliedTrends de unl ve oc Mashup Hub - New Feed lo k p & Unlock Data ★ personal data ★ business data ★ customer data ★ excel, database ★ web service ★ structured and unstructured sources mash KCC data with your own to create new products and information resources
  • 74. AppliedTrends de unl Note: Feeds ve oc lo k p & Find KCC feeds OR Get the URL Use anywhere on the Create new feeds web
  • 75. AppliedTrends tr an sfo rm Mashup Center (Canvas) Create and edit mashups Share and export Catalog Mashup Hub Create and combine feeds New and existing sources
  • 76. AppliedTrends tr an Mashup Hub - Mash Feeds sfo rm Mash multiple sources into new feeds 76 Fast and easy, but powerful, Output in RSS, ATOM or XML visual editor for precise control based on consuming over information flows application or widget
  • 77. AppliedTrends Creating Mashups Develop & Unlock Assemble Share & Manage 77 Discover Transform
  • 78. AppliedTrends Demonstrations Section 5.0 Let’s try a few simple scenarios and mashups Switch to IBM Mashup Center
  • 79. AppliedTrends Credits Content developed and delivered by Applied Trends on behalf of Kent County Council to support the Pic and Mix initiative contact: sgavin@appliedtrends.com