STI Summit 2011 - Linked Data & Ontologies
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STI Summit 2011 - Linked Data & Ontologies STI Summit 2011 - Linked Data & Ontologies Presentation Transcript

  • Linked Data & Ontologies Rudi Studer, Elena Simperl, Benedikt Kämpgen 2011 STI Semantic Summit, July 6, 2011 Institute of Applied Informatics and Formal Description Methods (AIFB)Institute of Applied Informatics and Formal Description Methods (AIFB) KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association www.kit.edu
  • Outline !   Semantic Web ontologies – widely applied !   Did Linked Data kill ontologies? ! Ontologies for Linked Data !   Linked Data for ontologies !   Research and discussion topics2 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Semantic Web Ontologies – widely applied: Content Navigation at BBC Created ontologies for its website !   Develop and re-organize sites based on domain model !   E.g., sports ontology, programme ontology !   One URI per thing !   Link content and allow exploration of topics !   Leverage external resources !   E.g., MusicBrainz Mike Atherton: “the complexities of knowledge call for ontological structures” http://www.slideshare.net/reduxd/beyond-the-polar-bear3 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Semantic Web Ontologies – widely applied: Content Publishing via schema.org !   Consensus of Yahoo!, Bing and Google ! Ontologies (and format) to markup web pages !   Web pages more easily interpreted and more appropriately displayed by search engines !   Large impact on businesses Rich Snippet at Google diTii.com schema.org4 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Semantic Web Ontologies – widely applied: Content Publishing via GoodRelation at BestBuy! GoodRelation ontology !   Describing businesses !   Machine interpretable! BestBuy retailer !   Major GoodRelation deployer ! RDFa created with forms !   Enhance visibility on the Web5 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Semantic Web Ontologies – widely applied: BioPortal at Stanford – Content Navigation and Semantic Search ! Ontologies !   Ontology repository !   provide means for reuse !   offer standadized vocabulary !   Enhanced information management: !   biological objects annotated using the ontology !   improved navigation, filtering visualization6 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Summary !   Many applications for Semantic Web ontologies !   Some adoption at big players with strong influence on businesses Nowadays: !   Linked Data principles well adopted !   Many Linked Data sources popping up Not yet clear: What role do ontologies play in the age of Linked Data?7 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Did Linked Data Kill Ontologies? !   A Little Semantics Goes a Long Way (Jim Hendler) !   Lightweight, easy-to-understand ontologies adopted !   Semantic is not the goal, it is a way to solve a task (Chris Welty) !   Machine learning, statistics and machine power equally important !   Sloppy, scruffy Semantic Web does not need ontologies (David R. Karger) ! Ontologies are a luxury and should not hinder open data publishing and usage8 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Ontologies in the Age of Linked Data !   Success of Linked Data !   Slow improvement of !   Viral growth works ontology usage surprisingly well !   Needs a good balance between effort and added !   Open Data trend value that is provided !   Lightweight ontologies are !   Heterogeneous, dirty, vs more easily understood, inconsistent, accepted and used not trustworthy… !   Reuse of ontologies not yet done in practice !   However: Value of grounding Linked Data by ontological structures not yet recognized9 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Ontologies for Linked Data (1) !   When publishing and consuming Linked Data, use of ontologies/vocabularies would provide benefits !   Publishing: !   Less effort in publishing: Reusing well-defined collections of URIs contained in ontologies (e.g., SKOS, Geonames) !   Easier integration of data when publishing based on ontology !   Having well-defined conceptualizations available10 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Ontologies for Linked Data (2) !   When publishing and consuming Linked Data, use of ontologies/vocabularies would provide benefits !   Consumption: !   Self-describing data guide agents when using Linked Data sources !   Splitting the integration / alignment effort between instance and schema level !   Reasoning for implicit knowledge !   e.g., gr:DeliveryModeParcelService rdfs:subClassOf gr:DeliveryMethod11 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Linked Data for Ontologies !   When building and consuming ontologies use of Linked Data sources would provide benefits !   Building: !   Inductive, incremental approach to ontology engineering !   Less manual modeling effort needed: use Linked Data as source !   No perfection needed: define mappings if you need them !   Collaborative approach to ontology engineering !   Exploiting Linked Data in games, tagging systems, wikis !   Consumption: !   The more reuse of Linked Data sources the easier the dynamic extension of the ontology (e.g., instance of a class)12 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Research and Discussion Topics !   New Challengies for ontology engineering methodologies !   Open Issues for Exploiting Linked Data & ontologies13 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Do traditional methodologies for ontology engineering and evaluation need to be revised? DILIGENT CommonKADS [Pinto et al., 2004] [Schreiber et al., 1999] NeOn Methodology Enterprise Ontology [Gómez-Pérez, 2008] [Uschold & King, 1995] Holsapple&Joshi IDEF5 [Holsapple & Joshi, 2002] [Benjamin et al. 1994] On-To-Knowledge CO4 [Sure, 2002] Ontometric [Euzenat, 1995] ONTOCOM [Gómez-Pérez, 2004] [Simperl et al., 2006]14 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • New Requirements for Methodologies !   More data-driven !   data first, ontology second !   More reuse-focused !   Leveraging ontology repositories, semantic search engines !   Emphasis on alignment, especially at the instance level !   Application-oriented !   Human vs machine-oriented consumption (using specific technologies)15 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Open Issues for Exploiting Linked Data & ontologies !   What ontologies when to reuse for what kinds of data (statistical data, sensor information…) !   What guidelines are around !   Best practices for ontology reuse !   Statistics of ontology reuse in Linked Data !   Better usage of modularization concepts !   Application-driven reuse of parts of ontologies and Linked Data16 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Open Issues for Exploiting Linked Data & ontologies !   What are the mechanisms for viral growth of Linked Data !   How to release open data’s potential as a major driver for innovation and for unlocking the full data value !   Exploiting the social Web !   What are business models for such initiatives !   Major driver for Open Linked Data: eGovernment !   Specification of standard ontologies in order to push the release of public sector information as Linked Data17 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies
  • Questions / Comments? http://www.aifb.kit.edu http://www.ksri.kit.edu http://www.fzi.de18 July 6, 2011 2011 STI Semantic Summit – Linked Data & Ontologies