Advertisement

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)

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.

Keywords

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Antoniou, G., et al.: Reasoning methods for personalization on the semantic web. Annals of Mathematics, Computing & Teleinformatics (2004)Google Scholar
  2. 2.
    Horrocks, I.: Hybrid Logics and Ontology Languages. Talk at HyLo (2006)Google Scholar
  3. 3.
    Horrocks, I.: DAML+OIL: a Description Logic for the Semantic Web (2002)Google Scholar
  4. 4.
    Jade - Java Agent DEvelopment Framework, http://jade.tilab.com/
  5. 5.
    Hendler, J.: Agent and Semantic web. IEEE Intelligent Systems 16(2) (2001)Google Scholar
  6. 6.
    Jena project homepage, http://jena.sourceforge.net/
  7. 7.
    Jeremy, J., et al.: Jena: Implementing the Semantic Web Recommendations. Technical Report HPL (2004)Google Scholar
  8. 8.
    Kuno, K., Wilkinson, C., Reynolds, D.: Efficient RDF storage and retrieval in Jena2. In: Proceedings of VLDB Workshop on Semantic Web and Databases (2003)Google Scholar
  9. 9.
    Mostafa, M., et al.: The Ontology Web Language (OWL) for a Multi-Agent Understating System (2005), http://ieeexplore.ieee.org/iel5/9771/30814/01427149.pdf
  10. 10.
    Resource Description Framework (RDF) / W3C Semantic Web Activity, http://www.w3.org/RDF/
  11. 11.
    Heymans, S., Van Nieuwenborgh, D., Vermeir, D.: Nonmonotonic Ontological and RuleBased Reasoning with Extended Conceptual Logic Programs. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 392–407. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  12. 12.
    Cayzer, S.: Semantic Blogging: Spreading the Semantic Web Meme (2004)Google Scholar
  13. 13.
    The Protégé Ontology Editor and Knowledge Base Acquisition System, http://protege.stanford.edu/plugins/owl/
  14. 14.
    Hong, T.W.: Grammatical Inference for Information Extraction and Visualisation on the Web. Ph.D. Thesis, Imperial College London (2002)Google Scholar
  15. 15.
    Wang, X.: Ontology Based Context Modeling and Reasoning using OWL. In: Proc. Of the Second IEEE Annual Conference on Pervasive Computing and Co unications Workshops (PERCOMW 2004) (2004)Google Scholar
  16. 16.
    Terziyan, V.: Semantic Web - new Possibilities for Intelligent Web Applications. Course Introduction, Department of Mathematical Information Technology, University of Jyvaskyla. ITIN, France (2006)Google Scholar
  17. 17.
    Crescenzi, V., Mecca, G., Merialdo, P.: Roadrunner: Towards automatic data extraction from large web sites. Technical Report, Universit di Roma Tre (2001)Google Scholar
  18. 18.
    Haarslev, V., Moller, R.: Racer - An owl reasoning agent for the semantic web. In: Proc. of IEEE/WIC International Conference on Web Intelligence, Halifax Canada (2003)Google Scholar
  19. 19.
    Ding, Z., Peng, Y.: A Probabilistic Extension to Ontology Language OWL. In: 37 th Hawaii International Conference on System Sciences, Hawaii (2004)Google Scholar
  20. 20.
    Pant, G., Srinivasan, P., Menczer, F.: Crawling the Web. In: Levene, M., Poulovassilis, A. (eds.) Web Dynamics: Adapting to Change in Content, Size, Topology and Use. Springer, Heidelberg (2004)Google Scholar

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

Personalised recommendations