Extending RDF in distributed knowledge-intensive applications

Authors:
Jun Shen;Yun Yang
Affiliations:
CICEC--Center for Internet Computing and E-Commerce, School of Information Technology, Swinburne University of Technology, PO Box 218, Hawthorn, Melbourne 3122, Australia;CICEC--Center for Internet Computing and E-Commerce, School of Information Technology, Swinburne University of Technology, PO Box 218, Hawthorn, Melbourne 3122, Australia
Venue:
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
Year:
2004

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Abstract

The resource description framework (RDF) has become a formal language tool to specify the semantics of distributed systems, such as web services nowadays. In fact, it can also be extended to describe entities and relationships within specific application environments to support knowledge sharing and ontology construction. This paper presents two case studies on a network management knowledge model and a distributed workflow system process ontology. With practical experiences, the authors suggest how RDF can be applied innovatively and effectively to reengineer data integration solutions in different novel knowledge-intensive areas, which, in the past, were built upon traditional modelling languages, such as XML.