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Enabling Semantic Web Inferencing with Oracle Technology: Applications in Life Sciences

  • Conference paper
Rules and Rule Markup Languages for the Semantic Web (RuleML 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3791))

Abstract

The Semantic Web has reached a level of maturity that allows RDF and OWL to be adopted by commercial software vendors. Products that incorporate these standards are being used to help provide solutions to the increasingly complex IT challenges that many industries face. Standardization efforts for the Semantic Web have progressed to the point where efforts are starting in the integration of ontologies and rules. This paper showcases the implementation of a Semantic Web rulebase in Oracle Database 10g, and provides examples of its use within drug discovery and development. A more detailed paper is currently being prepared with Dr. Said Tabet of the RuleML initiative where a more detailed design and specification is provided explaining the

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Author information

Authors and Affiliations

  1. Oracle, 10 van de Graaff Drive, Burlington, MA, 01803, USA

    Susie Stephens

Authors
  1. Susie Stephens
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Editor information

Editors and Affiliations

  1. IBM Research Lab in Haifa, Haifa University, Mount Carmel, 31905, Haifa, Israel

    Asaf Adi

  2. The MITRE Corporation, 1155 Academy Park Loop, Colorado Springs, 80910, Colorado, USA

    Suzette Stoutenburg

  3. RuleML Initiative, 24 Magnolia Road, 01760, Natick, MA, USA

    Said Tabet

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© 2005 Springer-Verlag Berlin Heidelberg

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Stephens, S. (2005). Enabling Semantic Web Inferencing with Oracle Technology: Applications in Life Sciences. In: Adi, A., Stoutenburg, S., Tabet, S. (eds) Rules and Rule Markup Languages for the Semantic Web. RuleML 2005. Lecture Notes in Computer Science, vol 3791. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11580072_2

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  • DOI: https://doi.org/10.1007/11580072_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29922-6

  • Online ISBN: 978-3-540-32270-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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