Approaching Web-Based Expertise with Semantic Web

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Approaching Web-Based Expertise with Semantic Web

• Kimmo Salmenjoki Department of Computer Science,
  University of Vaasa, ksa_at_uwasa.fi
• Vagan Terziyan Department of Mathematical
  Information Technology, University of Jyväskylä,
  vagan_at_it.jyu.fi
• Finland, EU

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Contents

• Semantic web SW
• MODE example BSOU knowledge modelling and its
  SW application
• Semantic web with web services SWWS
• Industrial aspects of SW software development

http//www.w3.org/2001/sw/
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Semantic Web RDF

• Web information has exact meaning
• Web information can be understood and processed
  by computers
• Computers can integrate information from the web
• The RDF language is (only!) a part of the W3C's
  Semantic web vision

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SW applications
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Example of MODE project

• Management of Distributed Expertise project
• A pilot system for sharing educational knowledge
  
• with generic knowledge modelling and SW
  applications

http//www.uwasa.fi/
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BSOU (Baltic Sea Open University) knowledge
modelling

• Educational collaboration in Baltic Sea Network
• Based on Bologna model for degree structure
• Goal support and enhance collaboration in
  networked environment

http//www.laurea.fi/net/en/02_Studies/04_Internat
ionalisation_of_studies/04_Projects/Baltic_Sea/ind
ex.jsp
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Examples ofRDF usage

• Describing, for example
• properties for shopping items, such as price and
  availability
• information about web pages, such as content,
  author, created and modified date
• content for search engines or electronic libraries

RDF example
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SW evolutions of RDF with

• XML RDF Site Summary (RSS 1.0) type RDF
  applications
• using web services SOAP, WSDL and UDDI
• by other SW technologies RDFS, OWL
• and combined

RDFS example
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Generic tools

• Editors for RDF documents
• Far editor Colorer
• Protege
• NotePad
• RDF storages
• Joseki
• Sesame
• Kowari
• KAON (RDF storage)
• RDF API
• Jena
• KAON (RDF API)

http//www.uwasa.fi/yats/sw_tools.htm
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SW application development

• the classical semantic web tools Protégé and
  Joseki were used to
• set up of the educational ontology by Bologna
  model in RDFS
• build up knowledge description for the BSOU data
  in RDF
• more technical details available with a poster in
  NHIBE 26.8.2005

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Intelligent web services

• Class, which describes the person, whos children
  is Doctor
• ltowlClassgt
• ltowlintersectionOf rdfparseType"
  collection"gt
• ltowlClass rdfabout"Person"/gt
• ltowlRestrictiongt
• ltowlonProperty rdfresource"hasChild"/gt
• ltowltoClassgt
• ltowlunionOf rdfparseType" collection"gt
• ltowlClass rdfabout"Doctor"/gt
• ltowlRestrictiongt
• ltowlonProperty rdfresource"hasChil
  d"/gt
• ltowlhasClass rdfresource"Doctor"/gt
  
• lt/owlRestrictiongt
• lt/owlunionOfgt
• lt/owltoClassgt
• lt/owlRestrictiongt
• lt/owlintersectionOfgt
• lt/owlClassgt

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SWWS approaches

• combine the information infrastructure provided
  by RDF and RDFS either with the higher-level
  ontologies or lower level web service
  technologies
• modeling hierarchical domain ontologies,
  improving web service components with RDF or
  using intelligent data itself
• other research platforms and developed tools like
  KIM, S-Cream, KAON and Knowledge web (previously
  OntoKnowledge project)

http//swws.semanticweb.org
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Industrial semantic web

• Vagan Terziyan Industrial Ontologies Group (IOG)
  in the University of Jyväskylä, Finland
• usage of semantic web and web service approaches
  in industrial software development
• current semantic web applications and application
  development using existing tools and platforms

http//www.cs.jyu.fi/ai/OntoGroup/index.html
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OntoServ.Net concept from IOG

• Applied SW and web service usage to business
  domain areas like industrial maintance
• open issues on semantic web versus low level
  information exchange in the wider scopes of EAI
  and e-business scopes in general
• SOAP needs semantics injected or
• RDF and mediation of ontologies

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Industrial software development

• Low level data approaches with IT vendor
  frameworks (like Java technologies or Microsoft
  .NET) plain XML, SOAP and RDF usage
• IOG approach domain ontologies and RscDF,
  OntoNet approaches with GUN framework

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CONCLUSIONS

• Example of semantic web usage and development
• In general, semantic web services are harder to
  build compared with web service build plainly on
  SOAP
• Low granularity in the logic of RDF that has been
  in-built in the business process focused web
  service codes

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Further references

• Yaroslav Tsaruk, K. Salmenjoki Semantic web
  approaches for networked collaboration, poster in
  NHBIE 2005, 26.8.2005
• Salmenjoki K., Tsaruk Y., Arumugam G.
  Information architectures for semantic web
  applications in Industrial Applications of
  Semantic Web IASW-2005 conference, Jyväskylä,
  Finland, 25-27.8.2005
• Davies J., Fensel D., van Harmelen F. Towards
  the Semantic Web Ontology-Driven Knowledge
  Management, Wiley, (2003)
• Knowledge web FP6-507482 (previously
  OntoKnowledge project, http//www.ontoweb.org/)
  network of excellence, http//knowledgeweb.semanti
  cweb.org/index.html, (2005)

http//ubp.l3s.uni-hannover.de/ubp