SEKT

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SEKT

• SEmantic Knowledge Technology
• http//sekt.semanticweb.org

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SEKT

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

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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

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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

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XML is a first step

• Semantic markup
• HTML ? layout prescription
• XML ? content prescription
• Metadata
• within documents
• not across documents
• prescriptive

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RDF, RDFS OWL

• Standards of W3C
• Descriptive
• RDF consisting of triples or sentences
• ltsubject, property, objectgt
• ltprod341, price, 54000gt, ltorg176, sells,
  prod341gt
• RDF RDFS used to define and populate ontologies
• OWL based on DL, more expressive, inference
  capabilities, 3 dialects

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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/schemaBook)

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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

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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

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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

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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

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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,

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Multidisciplinary approach
KD/HLT
Management evolution
KD/HLT

• Need to determine appropriate technology mix
• Semi-automatic

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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

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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

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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

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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

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Dissemination Exploitation

• SDK project cluster sdk.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

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Project Overview
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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
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Thank you for your timeAny questions?john.nj.d
avies_at_bt.com
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Limitations of the Web today

• Machine-to-human, not machine-to-machine