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International Conference on Web Reasoning and Rule Systems

RR 2009: Web Reasoning and Rule Systems pp 24–25Cite as

SILK: Higher Level Rules with Defaults and Semantic Scalability

(Abstract of Invited Talk)

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5837))

SILK and Its KR Overall

We overview the technical approach and motivations of the SILK system for semantic rules and ontologies, that radically extends the knowledge representation (KR) power of currently commercially important business rule systems, including not only Prologs but also production rules and event-condition-action rules, database systems, and semantic web.

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Author information

Authors and Affiliations

  1. Vulcan Inc., 505 Fifth Ave. S., Suite 900, Seattle, WA, 98104, USA

    Benjamin N. Grosof

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  1. Benjamin N. Grosof
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Editor information

Editors and Affiliations

  1. Digital Enterprise Research Institute (DERI), National University of Ireland, IDA Business Park, Lower Dangan, Galway, Ireland

    Axel Polleres

  2. Departamento de Informatica, FCT/UNL, Centre for Artificial Intelligence (CENTRIA), Quinta da Torre, 2829-516, Caparica, Portugal

    Terrance Swift

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© 2009 Springer-Verlag Berlin Heidelberg

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Grosof, B.N. (2009). SILK: Higher Level Rules with Defaults and Semantic Scalability. In: Polleres, A., Swift, T. (eds) Web Reasoning and Rule Systems. RR 2009. Lecture Notes in Computer Science, vol 5837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05082-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-05082-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05081-7

  • Online ISBN: 978-3-642-05082-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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