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Agent Reasoning with Semantic Web in Web Blogs

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Intelligent Agents and Multi-Agent Systems (PRIMA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5357))

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Abstract

The Web pages contain lots of useful information but their complex layouts, unstructures and semantics are becoming obstacles for autonomous software agents in querying as well as processing. Various studies for representing web information as well as reasoning to infer useful knowledge are active topics in semantic web. This paper focuses on presenting an architecture of a multi-agent system with reasoning ability in web blog domain. The system includes classes of agents: crawler agents extract relevant data from various web blog resources and then convert it to the form of OWL, reasoning agents makes use of these resources and reasoning mechanism to infer necessary information so that user agents get and dispatch the result to mobile phone user.

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© 2008 Springer-Verlag Berlin Heidelberg

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Tran, D.Q., Hoang, T.N. (2008). Agent Reasoning with Semantic Web in Web Blogs. In: Bui, T.D., Ho, T.V., Ha, Q.T. (eds) Intelligent Agents and Multi-Agent Systems. PRIMA 2008. Lecture Notes in Computer Science(), vol 5357. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89674-6_43

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  • DOI: https://doi.org/10.1007/978-3-540-89674-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89673-9

  • Online ISBN: 978-3-540-89674-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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