Andreas KollerCIO, Semantic Web Company
Linked Data forData Science
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INTRODUCING SEMANTIC WEB COMPANY (SWC) AND POOLPARTY
Semantic Web Company▸ Founded in 2004▸ Based in Vienna▸ Privately held▸ >30 employees, experts in text
mining & linked data▸ SWC participates in
EU-projects with a total funding of over € 17.0 million
▸ SWC named to KMWorld’s 2016 "100 Companies That Matter in Knowledge Management"
PoolParty Semantic Suite▸ First release in 2009▸ Current version 5.5▸ W3C standards compliant▸ Over 100 installations
world-wide▸ 50% of SWC’s revenue is
reinvested into development of PoolParty
▸ PoolParty on-premises or used as a cloud service
▸ KMWorld listed PoolParty as Trend-Setting Product 2015
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MAKE USE OF POOLPARTY SEMANTIC SUITE
OVERVIEW
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TECHNICAL CORE COMPONENTS
4Bain Capital is a venture capital company based in Boston, MA.Since inception it has invested in hundreds of companies including AMC Entertainment, Brookstone, and Burger King. The company was co-founded by Mitt Romney.
Taxonomy & Ontology Server
Entity Extraction & Text Mining
BASIC PRINCIPLESBenefiting from the Semantic Web
in a Nutshell
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‘Things’ but not Strings: Using a ‘Semantic Knowledge Graph’
http://www.mycom.com/taxonomy/62346723
prefLabel
Venice
image
http://www.mycom.com/images/90546089
http://www.mycom.com/taxonomy/97345854
prefLabel St. Mark’s Square
altLabelPiazza San Marco
http://www.mycom.com/taxonomy/4543567
prefLabel
altLabel
SquarePiazza
has broader
The power of knowledge graphs: Agility, extensibility, precision
doc doc doc
Norway France Austria Canada
doc
Norway France Austria Canada
doc
Show me all documents about European
CountriesTraditional approach Graph-based approach
doc doc doc
Norway France Austria Canada
The power of knowledge graphs:Agility, extensibility, precision
doc doc doc doc doc
Show me all documents about European
Countries
Europe
Traditional approach Graph-based approach
doc doc doc
Europe,Norway
Europe,France
Europe,Austria
America,Canada
The power of knowledge graphs:Agility, extensibility, precision
doc doc doc
Norway France Austria Canada
doc
Traditional approach Graph-based approach
Show me all documents about EU member countries
doc doc
Europe
EU
Europe,Norway
EU,Europe,France
EU,Europe,Austria
America,Canada
doc doc
Show me all documents about European
Countries
The power of knowledge graphs:Agility, extensibility, precision
doc
Europe,Norway
French,EU,
Europe,France
EU,Europe,Austria
French,America,Canada Norway France Austria Canada
Europe
Traditional approach Graph-based approach
doc
French-speaking? EU
French-speaking
doc doc docdoc doc doc
Show me all documents about EU member countries
Show me all documents about European
Countries
The power of knowledge graphs:Agility, extensibility, precision
doc
Europe,Norway
French,EU,
Europe,France
EU,Europe,Austria
French,America,Canada Norway France Austria Canada
Europe
Traditional approach Graph-based approach
doc
French-speaking? EU
French-speaking
doc doc docdoc doc doc
Show me all documents about EU member countries
Show me all documents about European
Countries
Metadata per document1. No or little network effects2. No reuse of metadata3. Metadata resides in silos4. Data quality hard to measure5. Not machine-readable
Knowledge about metadata1. Explicit knowledge models2. Reusable and measurable3. Metadata is machine-processable4. Standards-based metadata5. Linkable metadata opens silos
360-degree views over various content repositories
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Semantic WebStandards &Technologies
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Resource Description Framework (RDF)
14Subject Object
predicate
Semantic Web Company Organization
is a
Semantic Web Company Vienna
is located in
Simple Knowledge Organization System (SKOS)Taxonomies and controlled vocanularies
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http://www.w3.org/2004/02/skos/
From Simple SKOS to large knowledge graphs
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your data, e.g. Excel
your docs
- Taxonomy Editing- Collaborative workflows- Free term extraction- Tag recommender- Quality Checker
- Reuse of existing vocabularies- Corpus Analysis- Excel import- XML import- Linked data harvester
your CMS
- Reuse existing ontologies- Create custom schemes- Apply SKOS-XL- Apply ontologies on your SKOS taxonomy
- Automatic mapping between taxonomies- Linked Data frontend- Link to other LD graphs, e.g. DBpedia or Geonames
Generate 1st version of SKOS taxonomy
Edit, extend & curate taxonomy
Extend schema, apply ontologies, use SKOS-XL
Link and map between taxonomies and LD graphs
Complex queries with SPARQL
18 PREFIX mrv-schema: <http://gbpn.org/mrv-schema/> PREFIX qb: <http://purl.org/linked-data/cube#>
SELECT DISTINCT * WHERE { GRAPH <http://gbpn.org/mrv> { ?observation mrv-schema:year ?year. ?observation mrv-schema:region ?region. ?observation mrv-schema:region <http://gbpn.org/mrv-thes/region/India>. ?observation mrv-schema:scenario ?scenario. ?observation mrv-schema:scenario <http://gbpn.org/mrv-thes/scenario/deep-efficiency>. { ?observation mrv-schema:urbanizationType ?urbanizationType. ?observation mrv-schema:urbanizationType <http://gbpn.org/mrv-thes/urbanization-type/urban>. ?observation mrv-schema:buildingType ?buildingType. ?observation mrv-schema:buildingType <http://gbpn.org/mrv-thes/building-type/MF>. ?observation mrv-schema:publicBuildingType ?publicBuildingType. ?observation mrv-schema:publicBuildingType <http://gbpn.org/mrv-thes/public-building-type/NO>. } UNION { ?observation mrv-schema:urbanizationType ?urbanizationType. ?observation mrv-schema:urbanizationType <http://gbpn.org/mrv-thes/urbanization-type/urban>. ?observation mrv-schema:buildingType ?buildingType. ?observation mrv-schema:buildingType <http://gbpn.org/mrv-thes/building-type/Slums>. ?observation mrv-schema:publicBuildingType ?publicBuildingType. ?observation mrv-schema:publicBuildingType <http://gbpn.org/mrv-thes/public-building-type/NO>. } UNION { …….
Challenges in Data & Information Management
191. Distributed Data Sources2. Differing Formats3. Implicit Semantics4. Dubious Provenance5. Missing Licenses6. Unclear Topicality
Linked Data: Discovering Answers to Complex Questions
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the following sources can be consulted and linked:
● MeSH (Medical Subject Headings)● PubMed● Geonames● DBpedia
To answer the following question,
“Are there interdependencies between the Human Development Index of certain countries and the regional research activities concerning specific types of illnesses?”
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21Climate TaggerHelp organizations in the climate and development arenas catalogue, categorize, contextualize, and connect data and information resources.
Climate Tagger is backed by the expansive Climate Compatible Development Thesaurus.
http://www.climatetagger.net
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22CTCN MatchmakingControlled vocabularies enable accurate matchmaking between ‘problem statements’ and capabilities of solution providers.
Matchmaking is based upon the Climate Compatible Development Thesaurus.
Reference
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23healthdirect AustraliaIntegrated views and semantic search over more than 100 trusted sources.
Harmonization of various metadata systems through the use of a central vocabulary hub: Australian Health Thesaurus.
http://www.healthdirect.gov.au
CONNECT
Andreas KollerCIO, Semantic Web [email protected]
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