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SEKT

SEKT. SEmantic Knowledge Technology http://sekt.semanticweb.org. SEKT. addressing the semantic knowledge technology research agenda 6 th framework IP project start date 1/1/2004 36 months, €12.5m sekt.semanticweb.org. Key people. Project Director – John Davies, BT

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SEKT

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  1. SEKT SEmantic Knowledge Technology http://sekt.semanticweb.org

  2. SEKT • addressing the semantic knowledge technology research agenda • 6th framework IP project • start date 1/1/2004 • 36 months, €12.5m • sekt.semanticweb.org

  3. Key people • Project Director – John Davies, BT • Technical Director – Rudi Studer, Karlsruhe • Project Manager – Paul Warren, BT • Project Management Board • Marko Grobelnik, JSI • Ralph Traphoener, Empolis • Hamish Cunningham, Sheffield • Juergen Angele, Ontoprise • Atanas Kiryakov, SIRMA AI • Jesus Contreras, iSOCO • Tom Boesser, kea-pro • Pompeu, UAB • Frank van Harmelen, VUA • Jos De Bruijn, DERI Innsbruck

  4. The Goal • To deliver next generation semantic knowledge technology through: • Foundational research • (Semi-)automatic ontology generation and population • Ontology management (mediation, evolution, inferencing) • Innovative technology development • A suite of knowledge access tools • Open source ontology middleware platform • Validated by 3 case studies and benchmarking/usability activties • Supported by a methodology

  5. XML is a first step • Semantic markup • HTML  layout prescription • XML  content prescription • Metadata • within documents • not across documents • prescriptive

  6. RDF, RDFS & OWL • Standards of W3C • Descriptive • RDF consisting of triples or sentences: • <subject, property, object> • <prod341, price, €54000>, <org176, sells, prod341> • RDF & RDFS used to define and populate ontologies • OWL – based on DL, more expressive, inference capabilities, 3 dialects

  7. A (simple) example “Tolkien wrote ‘The Hobbit’ ” hasWritten (‘http://www.famouswriters.org/tolkein/’, http://www.books.org/ISBN00001047582’) “A famous writer is a kind of writer” subclassof(FamousWriter, Writer) “ ‘The Hobbit’ is a book” type(‘http://www.books.org/ISBN00001047582’, ‘http://www.description.org/schema#Book’)

  8. Semantic Web & KM • Making WWW information machine processable • annotation via ontologies & metadata • offers prospect of enhanced knowledge management • “Rank all the documents containing the word Tolkien” • “Show me the non-fiction books written by Tolkien about philology before 1940” • significant research & technology challenges are outstanding

  9. Annotation is a potential bottleneck … and how do we handle legacy knowledge? • We need automation: • semi-automatic learning of ontologies (KD) • semi-automatic generation of metadata (HLT) • maintaining and evolving ontologies (OMT) • a multi-disciplinary approach

  10. Major RTD challenges • Improve automation of ontology and metadata generation • Research and develop techniques for ontology management and evolution • Develop highly-scalable solutions • Research sound inferencing despite inconsistent models • Develop semantic knowledge access tools • Develop methodology for deployment

  11. Key outcomes • technological progress through development of leading edge, integrated semantically-enabled KM software tools • scientific progress through foundational research • creation of awareness via dissemination, training, case studies

  12. Key outcomes • building the European Research Area in KM through collaboration with related IP and NoE projects in this area for a coordinated impact strategy • SEKT, DIP, KnowledgeWeb – SDK cluster • sdk.semanticweb.org • Collaboration with other projects – PASCAL, ALVIS, ECOLEAD, …

  13. Multidisciplinary approach KD/HLT Management & evolution KD/HLT • Need to determine appropriate technology mix • Semi-automatic

  14. Human Language Technology • Aim: • bring together the current text-based web and the formal knowledge underlying Semantic Knowledge Technologies • increase the adaptivity of the metadata generation tools to evolving end-user information needs • Language processing tools • automating to a large degree the production of metadata • dealing with the large scale of the Web • supporting multiple languages • supporting learning from unlabeled data, using KD

  15. Knowledge Access • context-aware tools for access to semantically-annotated knowledge • search, browse, visualise, summarise, share, infer • integrated into day-to-day business processes • automatic knowledge delivery based on current context (activity, location, device, interests) • support multiple end-user devices • also support for on-the-fly metadata creation • metadata creation as a side-effect of data creation

  16. Feedback/forward – 3 case studies helping newly-appointed judges helping IT consultants a corporate digital library • Use/refinement of SEKT methodology • Usability, business benefits and benchmarking

  17. Resulting software should • Integrate with day-to-day business processes • automatic knowledge delivery based on current context and activity • Support on-the-fly metadata creation • metadata creation as a side-effect of data creation • Have a natural and intuitive user interface

  18. Dissemination & Exploitation • SDK project clustersdk.semanticweb.org • SEKT, DIP, KnowledgeWeb • 1st European Semantic Web Symposium delivered • Multiple publications, press articles • Project poster, presentation, brochure • Exploitation • Systems integrator • Several software vendors • Sector-specific organisations • Open source v. software products

  19. Project Overview

  20. The inSEKTs Vrije Universiteit Amsterdam Empolis University of Sheffield Universität Karlsruhe BT Ontoprise Kea-pro Universität Innsbruck iSOCO Sirma AI Universitat Autònoma de Barcelona Jozef Stefan Institute

  21. Thank you for your timeAny questions?john.nj.davies@bt.com

  22. Limitations of the Web today Machine-to-human, not machine-to-machine

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