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Querying Dynamic and Context-Sensitive Metadata in Semantic Web

  • Sergiy Nikitin
  • Vagan Terziyan
  • Yaroslav Tsaruk
  • Andriy Zharko
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3505)

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.

Keywords

Resource Description Framework Semantic Annotation Triple Pattern Predictive Maintenance Resource Description Framework Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Sergiy Nikitin
    • 1
  • Vagan Terziyan
    • 1
  • Yaroslav Tsaruk
    • 1
  • Andriy Zharko
    • 1
  1. 1.Industrial Ontologies Group, Agora CenterUniversity of JyväskyläJyväskyläFinland

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