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Approaching Web-Based Expertise with Semantic Web

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Title: Approaching Web-Based Expertise with Semantic Web


1
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

2
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/
3
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

4
SW applications
5
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/
6
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
7
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
8
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
9
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
10
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

11
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

12
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
13
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
14
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

15
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

16
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

17
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
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