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Querying Dynamic and Context-Sensitive Metadata in Semantic Web

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Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,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.

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Authors and Affiliations

  1. Industrial Ontologies Group, Agora Center, University of Jyväskylä, P.O. Box 35, FIN-40014, Jyväskylä, Finland

    Sergiy Nikitin, Vagan Terziyan, Yaroslav Tsaruk & Andriy Zharko

Authors
  1. Sergiy Nikitin
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  2. Vagan Terziyan
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  3. Yaroslav Tsaruk
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  4. Andriy Zharko
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Editor information

Editors and Affiliations

  1. St. Petersburg Intitute for Informaticsand Automation, 39, 14-th Liniya, 199178, St. Petersburg, Russia

    Vladimir Gorodetsky

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. US Air Force, Binghamton University (SUNYI), Binghamton, 13902, NY, USA

    Victor A. Skormin

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© 2005 Springer-Verlag Berlin Heidelberg

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Nikitin, S., Terziyan, V., Tsaruk, Y., Zharko, A. (2005). Querying Dynamic and Context-Sensitive Metadata in Semantic Web. In: Gorodetsky, V., Liu, J., Skormin, V.A. (eds) Autonomous Intelligent Systems: Agents and Data Mining. AIS-ADM 2005. Lecture Notes in Computer Science(), vol 3505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492870_17

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  • DOI: https://doi.org/10.1007/11492870_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26164-3

  • Online ISBN: 978-3-540-31932-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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