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Approaching Web-Based Expertise with Semantic Web Kimmo Salmenjoki: Department of Computer Science, University of Vaasa, Vagan Terziyan: Department.

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Presentation on theme: "Approaching Web-Based Expertise with Semantic Web Kimmo Salmenjoki: Department of Computer Science, University of Vaasa, Vagan Terziyan: Department."— Presentation transcript:

1 Approaching Web-Based Expertise with Semantic Web Kimmo Salmenjoki: Department of Computer Science, University of Vaasa, ksa@uwasa.fi Vagan Terziyan: Department of Mathematical Information Technology, University of Jyväskylä, vagan@it.jyu.fi Finland, EU

2 Contents Semantic web SW MODE example: BSOU knowledge modelling and it’s 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 RDF document Data storage Server Application RDF document RDF document Client

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_Internationalisation_of_studies/ 04_Projects/Baltic_Sea/index.jsp

7 Examples of RDF 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… RDFS example 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…

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… External RDBMS Information extractor Processing application RDF storage Information consumer Agent RDF

11 Intelligent web services Class, which describes the person, who’s children is Doctor Web Services UDDI, WSDL, SOAP Web Technology HTTP, URI Intelligent Web Services Semantic Web XML, RDF(S), OWL E-commerce, EAI”Next-generation Web” Interoperability, knowledge management Human-oriented dataMachine-processable data Static Dynamic

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 SW modelling: domain ontologies SW applications: Software infrastructure: WS Information infrastructure: RDF, RDFS Basic platforms for web based data communication: HTTP, XML, SOAP based data

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 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.semanticweb.org/ index.html, (2005) http://www.ontoweb.org/ http://knowledgeweb.semanticweb.org/ index.html http://ubp.l3s.uni-hannover.de/ubp Further references


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