Querying dynamic and context-sensitive metadata in semantic web

Authors:
Sergiy Nikitin;Vagan Terziyan;Yaroslav Tsaruk;Andriy Zharko
Affiliations:
Industrial Ontologies Group, Agora Center, University of Jyväskylä, Jyväskylä, Finland;Industrial Ontologies Group, Agora Center, University of Jyväskylä, Jyväskylä, Finland;Industrial Ontologies Group, Agora Center, University of Jyväskylä, Jyväskylä, Finland;Industrial Ontologies Group, Agora Center, University of Jyväskylä, Jyväskylä, Finland
Venue:
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
Year:
2005

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Abstract

RDF (core Semantic Web standard) is not originally appropriate for context representation, because of its initial focus on the ordinary Web resources, such as web pages, files, databases, services, etc., which structure and content are more or less stable. However, on the other hand, emerging industrial applications consider e.g. machines, processes, personnel, services for condition monitoring, remote diagnostics and maintenance, etc. to be specific classes of Web resources and thus a subject for semantic annotation. Such resources are naturally dynamic, not only from the point of view of changing values for some attributes (state of resource), but also from the point of view of changing “status-labels” (condition of the resource). Thus, context-awareness and dynamism appear to be new requirements to the existing RDF. This paper discusses the issues of representing the contexts in RDF and constructions coming with context representation. We discover certain representation patterns and their classification towards development of the general approach of querying dynamic and context-sensitive metadata in Semantic Web by autonomous agents.