SlideShare uma empresa Scribd logo
1 de 28
PoolParty 4
From Text Mining to Linked Data

Andreas Blumauer
CEO, Semantic Web Company
www.semantic-web.at
www.poolparty.biz
About Semantic Web Company

Company was founded 2001 in Vienna, Austria
>20 experts in linked data technologies
Product: PoolParty Suite (launched 2009)
Serving global 500 companies
EU- & US-based consulting services
Customers we serve
• Pearson
• Daimler
• Wolters Kluwer
• Ministry of Finance (AUT)
• TechTarget • Credit Suisse • Council of EU
• Education Services (AUS)
• World Bank • Roche
• Wood Mackenzie • REEEP
PoolParty 4 –
the good old features revisited

1. User-friendliness
2. Thesaurus linking
3. Import / export
User-friendliness
Very fast, browser-based, drag & drop, auto-complete, online help,…
Thesaurus Linking
Auto-suggest, drag & drop, various mapping properties, various views on mappings
Import / Export
Import of Excel, CSV, XML, SKOS/RDF; import and analysis of various text formats, export
of various RDF serializations, customised exports for Oracle, SharePoint, etc.
PoolParty 4 –
What’s new for thesaurus managers?

1. Quality Management
2. Linked Data Harvester
3. Text Corpus Analysis
Integrated Quality Management

http://www.youtube.com/watch?v=x9s4hiStQ1Y
Integrated Linked Data Harvester

http://www.youtube.com/watch?v=BDzYW3_hxfQ
Integrated Text Corpus Analysis

http://www.youtube.com/watch?v=2E5V-mmH_1c
PoolParty knowledge modeling process
PoolParty PowerTagging
PowerTagging works with any version of PoolParty (Basic, Advanced,
Enterprise) and can be integrated with your CMS.

PoolParty PowerTagging

Your PoolParty Server
PowerTagging for SharePoint

http://www.semantic-sharepoint.com
Example: FAQ database
based on PowerTagging

http://faq.poolparty.biz/
PoolParty Semantic Integrator
Semantic
Search

Mashups &
360O views

Data
Visualisation

PoolParty Semantic Integrator

Your Linked
Data App
Application example #1:
Energy Market Intelligence
Scenario #1:
I am an energy market
researcher at the International
Energy Agency (IEA).
I inform policy makers about the
situation in specific renewable
energy areas to develop
targeted energy support
programs.
For my research I need indicators
about utilisation levels of all
alternative forms of energy with
regards to geographical and
political categories.

http://integrator.poolparty.biz/report_renewable/
How does it work?
 Articles about Renewable Energy
 72,018 documents
 From ~300 web sources

 Reegle Thesaurus: ~3,000 concepts
 Traverse hierarchies below main categories (wind, solar,
etc.) and classify documents

 Geonames
 Annotate documents with regards to their geographical
entities

 DBpedia
 Lookup several Yago classes to all extracted geographical
entities to assert additional categories, e.g.: EU-countries,
French-speaking countries etc.
How does it work?
Semantic
Search

Geospatial
Search

PoolParty Semantic Integrator

….

Data
Visualisation
Application example #2: Health Care
Scenario #2:
I am an information officer at
the Global Health
Observatory of the World
Health Organisation.
I inform policy makers about
the global situation in
specific disease areas to
direct support to the
required health support
programs.
For my research I need data
about disease prevalence in
relation to socio-economic
factors.

http://integrator.poolparty.biz/report_medicine/
How does it work?
 PubMed Articles
 Cardiovascular Diseases: 39,911 documents
 Neoplasms: 69,937 documents
 Nervous System Diseases: 48,128 documents

 MeSH: 26,700 concepts / 346,600 triples
 Traverse hierarchies below disease main categories and classify
documents

 Geonames
 Annotate documents with regards to their geographical entities

 DBpedia
 Lookup HDI (The Human Development Index (HDI) is a composite

statistic of life expectancy, education, and income indices used to
rank countries into four tiers of human development)
How does it work?
Semantic
Search

Geospatial
Search

PoolParty Semantic Integrator

Data
Visualisation
Two more PoolParty based Applications
Collaborative
Market Intelligence

Semantic Matchmaking
of People

http://sonr-webmining.com

http://www.semantic-web.at/drupal
PoolParty Products for
Thesaurus Management & Text
Analytics

Features

Target Audience

Pricing/
month

QM

LD

CA

TM

Opt.

Opt.

Basic

n/a

Professional thesaurus
management for small
organisations incl. NPOs

Advanced
Server

Full

Full

Full

n/a

Professional thesaurus
management for all kinds of
organisations

From
€ 1.190

Enterprise
Server

Full

Full

Full

Full

Semantic information
management for large
organisations incl. text analytics

From
€ 1.490

Basic
Server

QM
LD
CA
TM

=
=
=
=

Quality Management
Linked Data Harvesting
Corpus Management
Text Mining

From
€ 399

Use PoolParty as a
cloud-service or as
on-premise software!
And now: give it a try!

http://www.poolparty.biz/poolparty-demo-server-login/
Contact

Andreas Blumauer

CEO, Semantic Web Company
+43 1 4021235
a.blumauer@semantic-web.at

www.semantic-web.at
www.poolparty.biz

Partner network

Mais conteúdo relacionado

Mais procurados

Open Data Support - bridging open data supply and demand
Open Data Support - bridging open data supply and demandOpen Data Support - bridging open data supply and demand
Open Data Support - bridging open data supply and demandOpen Data Support
 
Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014
Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014
Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014KDZ - Zentrum für Verwaltungsforschung
 
Big Linked Data - Creating Training Curricula
Big Linked Data - Creating Training CurriculaBig Linked Data - Creating Training Curricula
Big Linked Data - Creating Training CurriculaEUCLID project
 
Smart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge GraphSmart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge GraphPeter Haase
 
Introduction to RDF & SPARQL
Introduction to RDF & SPARQLIntroduction to RDF & SPARQL
Introduction to RDF & SPARQLOpen Data Support
 
Getting Started with Knowledge Graphs
Getting Started with Knowledge GraphsGetting Started with Knowledge Graphs
Getting Started with Knowledge GraphsPeter Haase
 
euclid_linkedup WWW tutorial (Besnik Fetahu)
euclid_linkedup WWW tutorial (Besnik Fetahu)euclid_linkedup WWW tutorial (Besnik Fetahu)
euclid_linkedup WWW tutorial (Besnik Fetahu)Besnik Fetahu
 
Metadata for researchers
Metadata for researchers Metadata for researchers
Metadata for researchers Getaneh Alemu
 
Build Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageBuild Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageOntotext
 
Towards digitizing scholarly communication
Towards digitizing scholarly communicationTowards digitizing scholarly communication
Towards digitizing scholarly communicationSören Auer
 
RDF: what and why plus a SPARQL tutorial
RDF: what and why plus a SPARQL tutorialRDF: what and why plus a SPARQL tutorial
RDF: what and why plus a SPARQL tutorialJerven Bolleman
 
ESWC 2017 Tutorial Knowledge Graphs
ESWC 2017 Tutorial Knowledge GraphsESWC 2017 Tutorial Knowledge Graphs
ESWC 2017 Tutorial Knowledge GraphsPeter Haase
 
Geospatial Big Data: Business Cases from proDataMarket
Geospatial Big Data: Business Cases from proDataMarketGeospatial Big Data: Business Cases from proDataMarket
Geospatial Big Data: Business Cases from proDataMarketdapaasproject
 
Metadata for digital humanities
Metadata for digital humanities Metadata for digital humanities
Metadata for digital humanities Getaneh Alemu
 
The Information Workbench - Linked Data and Semantic Wikis in the Enterprise
The Information Workbench - Linked Data and Semantic Wikis in the EnterpriseThe Information Workbench - Linked Data and Semantic Wikis in the Enterprise
The Information Workbench - Linked Data and Semantic Wikis in the EnterprisePeter Haase
 
Linking Open Government Data at Scale
Linking Open Government Data at Scale Linking Open Government Data at Scale
Linking Open Government Data at Scale Bernadette Hyland-Wood
 
Metadata enriching and discovery at Solent University Library
Metadata enriching and discovery at Solent University Library Metadata enriching and discovery at Solent University Library
Metadata enriching and discovery at Solent University Library Getaneh Alemu
 
Rank | Analyse | Lead | Search
Rank | Analyse | Lead | SearchRank | Analyse | Lead | Search
Rank | Analyse | Lead | Searchsopekmir
 
Usage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application ScenariosUsage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
 

Mais procurados (20)

Linked Open Data
Linked Open DataLinked Open Data
Linked Open Data
 
Open Data Support - bridging open data supply and demand
Open Data Support - bridging open data supply and demandOpen Data Support - bridging open data supply and demand
Open Data Support - bridging open data supply and demand
 
Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014
Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014
Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014
 
Big Linked Data - Creating Training Curricula
Big Linked Data - Creating Training CurriculaBig Linked Data - Creating Training Curricula
Big Linked Data - Creating Training Curricula
 
Smart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge GraphSmart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge Graph
 
Introduction to RDF & SPARQL
Introduction to RDF & SPARQLIntroduction to RDF & SPARQL
Introduction to RDF & SPARQL
 
Getting Started with Knowledge Graphs
Getting Started with Knowledge GraphsGetting Started with Knowledge Graphs
Getting Started with Knowledge Graphs
 
euclid_linkedup WWW tutorial (Besnik Fetahu)
euclid_linkedup WWW tutorial (Besnik Fetahu)euclid_linkedup WWW tutorial (Besnik Fetahu)
euclid_linkedup WWW tutorial (Besnik Fetahu)
 
Metadata for researchers
Metadata for researchers Metadata for researchers
Metadata for researchers
 
Build Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageBuild Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
Build Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
 
Towards digitizing scholarly communication
Towards digitizing scholarly communicationTowards digitizing scholarly communication
Towards digitizing scholarly communication
 
RDF: what and why plus a SPARQL tutorial
RDF: what and why plus a SPARQL tutorialRDF: what and why plus a SPARQL tutorial
RDF: what and why plus a SPARQL tutorial
 
ESWC 2017 Tutorial Knowledge Graphs
ESWC 2017 Tutorial Knowledge GraphsESWC 2017 Tutorial Knowledge Graphs
ESWC 2017 Tutorial Knowledge Graphs
 
Geospatial Big Data: Business Cases from proDataMarket
Geospatial Big Data: Business Cases from proDataMarketGeospatial Big Data: Business Cases from proDataMarket
Geospatial Big Data: Business Cases from proDataMarket
 
Metadata for digital humanities
Metadata for digital humanities Metadata for digital humanities
Metadata for digital humanities
 
The Information Workbench - Linked Data and Semantic Wikis in the Enterprise
The Information Workbench - Linked Data and Semantic Wikis in the EnterpriseThe Information Workbench - Linked Data and Semantic Wikis in the Enterprise
The Information Workbench - Linked Data and Semantic Wikis in the Enterprise
 
Linking Open Government Data at Scale
Linking Open Government Data at Scale Linking Open Government Data at Scale
Linking Open Government Data at Scale
 
Metadata enriching and discovery at Solent University Library
Metadata enriching and discovery at Solent University Library Metadata enriching and discovery at Solent University Library
Metadata enriching and discovery at Solent University Library
 
Rank | Analyse | Lead | Search
Rank | Analyse | Lead | SearchRank | Analyse | Lead | Search
Rank | Analyse | Lead | Search
 
Usage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application ScenariosUsage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application Scenarios
 

Destaque

Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...
Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...
Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...gardensofmeaning
 
Semantic Web Landscape 2009
Semantic Web Landscape 2009Semantic Web Landscape 2009
Semantic Web Landscape 2009LeeFeigenbaum
 
Linked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and ExamplesLinked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and ExamplesOpen Data Support
 
Taxonomy Is User Experience
Taxonomy Is User ExperienceTaxonomy Is User Experience
Taxonomy Is User ExperienceDave Cooksey
 
Data Modeling with Neo4j
Data Modeling with Neo4jData Modeling with Neo4j
Data Modeling with Neo4jNeo4j
 
Enterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge
 
Kdd 2014 tutorial bringing structure to text - chi
Kdd 2014 tutorial   bringing structure to text - chiKdd 2014 tutorial   bringing structure to text - chi
Kdd 2014 tutorial bringing structure to text - chiBarbara Starr
 
Open Standards for the Semantic Web: XML / RDF(S) / OWL / SOAP
Open Standards for the Semantic Web: XML / RDF(S) / OWL / SOAPOpen Standards for the Semantic Web: XML / RDF(S) / OWL / SOAP
Open Standards for the Semantic Web: XML / RDF(S) / OWL / SOAPPieter De Leenheer
 
Introduction to Graph Databases
Introduction to Graph DatabasesIntroduction to Graph Databases
Introduction to Graph DatabasesMax De Marzi
 
Webinar: Working with Graph Data in MongoDB
Webinar: Working with Graph Data in MongoDBWebinar: Working with Graph Data in MongoDB
Webinar: Working with Graph Data in MongoDBMongoDB
 

Destaque (13)

Linked Data and SKOS
Linked Data and SKOSLinked Data and SKOS
Linked Data and SKOS
 
Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...
Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...
Simple Knowledge Organization System (SKOS) in the Context of Semantic Web De...
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked data
 
Semantic Web Landscape 2009
Semantic Web Landscape 2009Semantic Web Landscape 2009
Semantic Web Landscape 2009
 
Linked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and ExamplesLinked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and Examples
 
Taxonomy Is User Experience
Taxonomy Is User ExperienceTaxonomy Is User Experience
Taxonomy Is User Experience
 
Data Modeling with Neo4j
Data Modeling with Neo4jData Modeling with Neo4j
Data Modeling with Neo4j
 
Enterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and Methodology
 
Kdd 2014 tutorial bringing structure to text - chi
Kdd 2014 tutorial   bringing structure to text - chiKdd 2014 tutorial   bringing structure to text - chi
Kdd 2014 tutorial bringing structure to text - chi
 
Open Standards for the Semantic Web: XML / RDF(S) / OWL / SOAP
Open Standards for the Semantic Web: XML / RDF(S) / OWL / SOAPOpen Standards for the Semantic Web: XML / RDF(S) / OWL / SOAP
Open Standards for the Semantic Web: XML / RDF(S) / OWL / SOAP
 
RDF and OWL
RDF and OWLRDF and OWL
RDF and OWL
 
Introduction to Graph Databases
Introduction to Graph DatabasesIntroduction to Graph Databases
Introduction to Graph Databases
 
Webinar: Working with Graph Data in MongoDB
Webinar: Working with Graph Data in MongoDBWebinar: Working with Graph Data in MongoDB
Webinar: Working with Graph Data in MongoDB
 

Semelhante a PoolParty 4 - From Text Mining to Linked Data

Using DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationUsing DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationMartin Kaltenböck
 
Data Strategies: Metadata, Open Data, Linked Data
Data Strategies: Metadata, Open Data, Linked DataData Strategies: Metadata, Open Data, Linked Data
Data Strategies: Metadata, Open Data, Linked DataSemantic Web Company
 
The European Innovation Partnership on Water Online Marketplace
The European Innovation Partnership on Water Online MarketplaceThe European Innovation Partnership on Water Online Marketplace
The European Innovation Partnership on Water Online MarketplaceMartin Kaltenböck
 
PoolParty Semantic Suite - Solutions for Sustainable Development
PoolParty Semantic Suite - Solutions for Sustainable DevelopmentPoolParty Semantic Suite - Solutions for Sustainable Development
PoolParty Semantic Suite - Solutions for Sustainable DevelopmentMartin Kaltenböck
 
Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata managementOpen Data Support
 
How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...
How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...
How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...Michael Fanning
 
Design and manage persistent URIs
Design and manage persistent URIsDesign and manage persistent URIs
Design and manage persistent URIsOpen Data Support
 
SKOS as the focal point of linked data strategies
SKOS as the focal point of linked data strategiesSKOS as the focal point of linked data strategies
SKOS as the focal point of linked data strategiesSemantic Web Company
 
RDMkit, a Research Data Management Toolkit. Built by the Community for the ...
RDMkit, a Research Data Management Toolkit.  Built by the Community for the ...RDMkit, a Research Data Management Toolkit.  Built by the Community for the ...
RDMkit, a Research Data Management Toolkit. Built by the Community for the ...Carole Goble
 
Why SKOS should be a Focal Point of your Linked Data Strategy
Why SKOS should be a Focal Point of your Linked Data StrategyWhy SKOS should be a Focal Point of your Linked Data Strategy
Why SKOS should be a Focal Point of your Linked Data StrategySemantic Web Company
 
Private Hidden Data for Health Care
Private Hidden Data for Health CarePrivate Hidden Data for Health Care
Private Hidden Data for Health CareIRJET Journal
 
Climate change action through artificial intelligence
Climate change action through artificial intelligenceClimate change action through artificial intelligence
Climate change action through artificial intelligenceweADAPT
 
The Semantic Web Exists. What Next?
The Semantic Web Exists. What Next?The Semantic Web Exists. What Next?
The Semantic Web Exists. What Next?Anna Fensel
 
Hughes RDAP11 Data Publication Repositories
Hughes RDAP11 Data Publication RepositoriesHughes RDAP11 Data Publication Repositories
Hughes RDAP11 Data Publication RepositoriesASIS&T
 
Berlin 6 Open Access Conference: Tony Hey
Berlin 6 Open Access Conference: Tony HeyBerlin 6 Open Access Conference: Tony Hey
Berlin 6 Open Access Conference: Tony HeyCornelius Puschmann
 
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...GigaScience, BGI Hong Kong
 

Semelhante a PoolParty 4 - From Text Mining to Linked Data (20)

Using DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationUsing DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data Integration
 
Data Strategies: Metadata, Open Data, Linked Data
Data Strategies: Metadata, Open Data, Linked DataData Strategies: Metadata, Open Data, Linked Data
Data Strategies: Metadata, Open Data, Linked Data
 
The European Innovation Partnership on Water Online Marketplace
The European Innovation Partnership on Water Online MarketplaceThe European Innovation Partnership on Water Online Marketplace
The European Innovation Partnership on Water Online Marketplace
 
PoolParty Semantic Suite - Solutions for Sustainable Development
PoolParty Semantic Suite - Solutions for Sustainable DevelopmentPoolParty Semantic Suite - Solutions for Sustainable Development
PoolParty Semantic Suite - Solutions for Sustainable Development
 
Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata management
 
How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...
How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...
How useful are Weblogs, RSS-Newsfeeds Wikis and Podcasting to information spe...
 
Design and manage persistent URIs
Design and manage persistent URIsDesign and manage persistent URIs
Design and manage persistent URIs
 
SKOS as the focal point of linked data strategies
SKOS as the focal point of linked data strategiesSKOS as the focal point of linked data strategies
SKOS as the focal point of linked data strategies
 
Inforum2008
Inforum2008Inforum2008
Inforum2008
 
RDMkit, a Research Data Management Toolkit. Built by the Community for the ...
RDMkit, a Research Data Management Toolkit.  Built by the Community for the ...RDMkit, a Research Data Management Toolkit.  Built by the Community for the ...
RDMkit, a Research Data Management Toolkit. Built by the Community for the ...
 
Sinnott Paper
Sinnott PaperSinnott Paper
Sinnott Paper
 
Why SKOS should be a Focal Point of your Linked Data Strategy
Why SKOS should be a Focal Point of your Linked Data StrategyWhy SKOS should be a Focal Point of your Linked Data Strategy
Why SKOS should be a Focal Point of your Linked Data Strategy
 
Private Hidden Data for Health Care
Private Hidden Data for Health CarePrivate Hidden Data for Health Care
Private Hidden Data for Health Care
 
On Big Data
On Big DataOn Big Data
On Big Data
 
Climate change action through artificial intelligence
Climate change action through artificial intelligenceClimate change action through artificial intelligence
Climate change action through artificial intelligence
 
The Semantic Web Exists. What Next?
The Semantic Web Exists. What Next?The Semantic Web Exists. What Next?
The Semantic Web Exists. What Next?
 
Hughes RDAP11 Data Publication Repositories
Hughes RDAP11 Data Publication RepositoriesHughes RDAP11 Data Publication Repositories
Hughes RDAP11 Data Publication Repositories
 
Ciencia Abierta COP Madrid
Ciencia Abierta COP MadridCiencia Abierta COP Madrid
Ciencia Abierta COP Madrid
 
Berlin 6 Open Access Conference: Tony Hey
Berlin 6 Open Access Conference: Tony HeyBerlin 6 Open Access Conference: Tony Hey
Berlin 6 Open Access Conference: Tony Hey
 
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
 

Mais de Semantic Web Company

How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...
How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...
How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...Semantic Web Company
 
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 AISemantic Web Company
 
Deep Text Analytics - How to extract hidden information and aboutness from text
Deep Text Analytics - How to extract hidden information and aboutness from textDeep Text Analytics - How to extract hidden information and aboutness from text
Deep Text Analytics - How to extract hidden information and aboutness from textSemantic Web Company
 
Leveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemLeveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemSemantic Web Company
 
Linking SharePoint Documents with Structured Data
Linking SharePoint Documents with Structured DataLinking SharePoint Documents with Structured Data
Linking SharePoint Documents with Structured DataSemantic Web Company
 
The Fast Track to Knowledge Engineering
The Fast Track to Knowledge EngineeringThe Fast Track to Knowledge Engineering
The Fast Track to Knowledge EngineeringSemantic Web Company
 
Leveraging Taxonomy Management with Machine Learning
Leveraging Taxonomy Management with Machine LearningLeveraging Taxonomy Management with Machine Learning
Leveraging Taxonomy Management with Machine LearningSemantic Web Company
 
PoolParty GraphSearch - The Fusion of Search, Recommendation and Analytics
PoolParty GraphSearch - The Fusion of Search, Recommendation and AnalyticsPoolParty GraphSearch - The Fusion of Search, Recommendation and Analytics
PoolParty GraphSearch - The Fusion of Search, Recommendation and AnalyticsSemantic Web Company
 
Semantics as the Basis of Advanced Cognitive Computing
Semantics as the Basis of Advanced Cognitive ComputingSemantics as the Basis of Advanced Cognitive Computing
Semantics as the Basis of Advanced Cognitive ComputingSemantic Web Company
 
PoolParty 6.0 - Climbing the Semantic Ladder
PoolParty 6.0 - Climbing the Semantic LadderPoolParty 6.0 - Climbing the Semantic Ladder
PoolParty 6.0 - Climbing the Semantic LadderSemantic Web Company
 
PoolParty Semantic Suite - Release 6.0 (Technical Overview)
PoolParty Semantic Suite - Release 6.0 (Technical Overview)PoolParty Semantic Suite - Release 6.0 (Technical Overview)
PoolParty Semantic Suite - Release 6.0 (Technical Overview)Semantic Web Company
 
Taxonomies and Ontologies – The Yin and Yang of Knowledge Modelling
Taxonomies and Ontologies – The Yin and Yang of Knowledge ModellingTaxonomies and Ontologies – The Yin and Yang of Knowledge Modelling
Taxonomies and Ontologies – The Yin and Yang of Knowledge ModellingSemantic Web Company
 
PROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked DataPROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked DataSemantic Web Company
 

Mais de Semantic Web Company (20)

How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...
How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...
How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...
 
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
 
Deep Text Analytics - How to extract hidden information and aboutness from text
Deep Text Analytics - How to extract hidden information and aboutness from textDeep Text Analytics - How to extract hidden information and aboutness from text
Deep Text Analytics - How to extract hidden information and aboutness from text
 
Leveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemLeveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management System
 
Linking SharePoint Documents with Structured Data
Linking SharePoint Documents with Structured DataLinking SharePoint Documents with Structured Data
Linking SharePoint Documents with Structured Data
 
The Fast Track to Knowledge Engineering
The Fast Track to Knowledge EngineeringThe Fast Track to Knowledge Engineering
The Fast Track to Knowledge Engineering
 
Semantic AI
Semantic AISemantic AI
Semantic AI
 
BrightTALK - Semantic AI
BrightTALK - Semantic AI BrightTALK - Semantic AI
BrightTALK - Semantic AI
 
PoolParty Semantic Classifier
PoolParty Semantic ClassifierPoolParty Semantic Classifier
PoolParty Semantic Classifier
 
Leveraging Taxonomy Management with Machine Learning
Leveraging Taxonomy Management with Machine LearningLeveraging Taxonomy Management with Machine Learning
Leveraging Taxonomy Management with Machine Learning
 
Taxonomies put in the right place
Taxonomies put in the right placeTaxonomies put in the right place
Taxonomies put in the right place
 
PoolParty GraphSearch - The Fusion of Search, Recommendation and Analytics
PoolParty GraphSearch - The Fusion of Search, Recommendation and AnalyticsPoolParty GraphSearch - The Fusion of Search, Recommendation and Analytics
PoolParty GraphSearch - The Fusion of Search, Recommendation and Analytics
 
Semantics as the Basis of Advanced Cognitive Computing
Semantics as the Basis of Advanced Cognitive ComputingSemantics as the Basis of Advanced Cognitive Computing
Semantics as the Basis of Advanced Cognitive Computing
 
Structured Content Meets Taxonomy
Structured Content Meets TaxonomyStructured Content Meets Taxonomy
Structured Content Meets Taxonomy
 
PoolParty 6.0 - Climbing the Semantic Ladder
PoolParty 6.0 - Climbing the Semantic LadderPoolParty 6.0 - Climbing the Semantic Ladder
PoolParty 6.0 - Climbing the Semantic Ladder
 
PoolParty Semantic Suite - Release 6.0 (Technical Overview)
PoolParty Semantic Suite - Release 6.0 (Technical Overview)PoolParty Semantic Suite - Release 6.0 (Technical Overview)
PoolParty Semantic Suite - Release 6.0 (Technical Overview)
 
Taxonomies and Ontologies – The Yin and Yang of Knowledge Modelling
Taxonomies and Ontologies – The Yin and Yang of Knowledge ModellingTaxonomies and Ontologies – The Yin and Yang of Knowledge Modelling
Taxonomies and Ontologies – The Yin and Yang of Knowledge Modelling
 
PROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked DataPROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked Data
 
Taxonomy Quality Assessment
Taxonomy Quality AssessmentTaxonomy Quality Assessment
Taxonomy Quality Assessment
 
Taxonomy-Driven UX
Taxonomy-Driven UXTaxonomy-Driven UX
Taxonomy-Driven UX
 

Último

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
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 WorkerThousandEyes
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
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 MenDelhi Call girls
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 

Último (20)

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
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
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
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
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 

PoolParty 4 - From Text Mining to Linked Data

  • 1. PoolParty 4 From Text Mining to Linked Data Andreas Blumauer CEO, Semantic Web Company www.semantic-web.at www.poolparty.biz
  • 2. About Semantic Web Company Company was founded 2001 in Vienna, Austria >20 experts in linked data technologies Product: PoolParty Suite (launched 2009) Serving global 500 companies EU- & US-based consulting services
  • 3. Customers we serve • Pearson • Daimler • Wolters Kluwer • Ministry of Finance (AUT) • TechTarget • Credit Suisse • Council of EU • Education Services (AUS) • World Bank • Roche • Wood Mackenzie • REEEP
  • 4.
  • 5. PoolParty 4 – the good old features revisited 1. User-friendliness 2. Thesaurus linking 3. Import / export
  • 6. User-friendliness Very fast, browser-based, drag & drop, auto-complete, online help,…
  • 7. Thesaurus Linking Auto-suggest, drag & drop, various mapping properties, various views on mappings
  • 8. Import / Export Import of Excel, CSV, XML, SKOS/RDF; import and analysis of various text formats, export of various RDF serializations, customised exports for Oracle, SharePoint, etc.
  • 9. PoolParty 4 – What’s new for thesaurus managers? 1. Quality Management 2. Linked Data Harvester 3. Text Corpus Analysis
  • 11. Integrated Linked Data Harvester http://www.youtube.com/watch?v=BDzYW3_hxfQ
  • 12. Integrated Text Corpus Analysis http://www.youtube.com/watch?v=2E5V-mmH_1c
  • 14. PoolParty PowerTagging PowerTagging works with any version of PoolParty (Basic, Advanced, Enterprise) and can be integrated with your CMS. PoolParty PowerTagging Your PoolParty Server
  • 16. Example: FAQ database based on PowerTagging http://faq.poolparty.biz/
  • 17.
  • 18. PoolParty Semantic Integrator Semantic Search Mashups & 360O views Data Visualisation PoolParty Semantic Integrator Your Linked Data App
  • 19. Application example #1: Energy Market Intelligence Scenario #1: I am an energy market researcher at the International Energy Agency (IEA). I inform policy makers about the situation in specific renewable energy areas to develop targeted energy support programs. For my research I need indicators about utilisation levels of all alternative forms of energy with regards to geographical and political categories. http://integrator.poolparty.biz/report_renewable/
  • 20. How does it work?  Articles about Renewable Energy  72,018 documents  From ~300 web sources  Reegle Thesaurus: ~3,000 concepts  Traverse hierarchies below main categories (wind, solar, etc.) and classify documents  Geonames  Annotate documents with regards to their geographical entities  DBpedia  Lookup several Yago classes to all extracted geographical entities to assert additional categories, e.g.: EU-countries, French-speaking countries etc.
  • 21. How does it work? Semantic Search Geospatial Search PoolParty Semantic Integrator …. Data Visualisation
  • 22. Application example #2: Health Care Scenario #2: I am an information officer at the Global Health Observatory of the World Health Organisation. I inform policy makers about the global situation in specific disease areas to direct support to the required health support programs. For my research I need data about disease prevalence in relation to socio-economic factors. http://integrator.poolparty.biz/report_medicine/
  • 23. How does it work?  PubMed Articles  Cardiovascular Diseases: 39,911 documents  Neoplasms: 69,937 documents  Nervous System Diseases: 48,128 documents  MeSH: 26,700 concepts / 346,600 triples  Traverse hierarchies below disease main categories and classify documents  Geonames  Annotate documents with regards to their geographical entities  DBpedia  Lookup HDI (The Human Development Index (HDI) is a composite statistic of life expectancy, education, and income indices used to rank countries into four tiers of human development)
  • 24. How does it work? Semantic Search Geospatial Search PoolParty Semantic Integrator Data Visualisation
  • 25. Two more PoolParty based Applications Collaborative Market Intelligence Semantic Matchmaking of People http://sonr-webmining.com http://www.semantic-web.at/drupal
  • 26. PoolParty Products for Thesaurus Management & Text Analytics Features Target Audience Pricing/ month QM LD CA TM Opt. Opt. Basic n/a Professional thesaurus management for small organisations incl. NPOs Advanced Server Full Full Full n/a Professional thesaurus management for all kinds of organisations From € 1.190 Enterprise Server Full Full Full Full Semantic information management for large organisations incl. text analytics From € 1.490 Basic Server QM LD CA TM = = = = Quality Management Linked Data Harvesting Corpus Management Text Mining From € 399 Use PoolParty as a cloud-service or as on-premise software!
  • 27. And now: give it a try! http://www.poolparty.biz/poolparty-demo-server-login/
  • 28. Contact Andreas Blumauer CEO, Semantic Web Company +43 1 4021235 a.blumauer@semantic-web.at www.semantic-web.at www.poolparty.biz Partner network