Extending RDF in distributed knowledge-intensive applications

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/424

Title: Extending RDF in distributed knowledge-intensive applications
Author(s): Shen, Jun; Yang, Yun
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.
Publication type: Journal article
Research centre: Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Internet Computing and E-Commerce
Source: Future Generation Computer Systems, Vol. 20, no. 1 (Jan. 2004), pp. 27-46
Publication year: 2004
Keyword(s): Distributed workflow systems; Knowledge sharing; Network management; Ontology construction; Resource description framework
Publisher: Elsevier
ISSN: 0167-739X
Publisher URL: http://dx.doi.org/10.1016/S0167-739X(03)00163-8
Peer reviewed