Agent Reasoning with Semantic Web in Web Blogs

  • Dinh Que Tran
  • Tuan Nha Hoang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5357)


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.


Semantic web reasoning information integration ontology multi-agent system web blogs web mining 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Dinh Que Tran
    • 1
  • Tuan Nha Hoang
    • 1
  1. 1.Faculty of Information TechnologyPosts and Telecommunications Institute of TechnologyHanoiVietnam

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