Advertisement

Multi-Agent Based Web Search with Heterogeneous Semantics

  • Rui Huang
  • Zhongzhi Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5044)

Abstract

Relevance ranking is key to Web search in determining how results are retrieved and ordered. As keyword-based search does not guarantee relevance in meanings, semantic search has attracted enormous and growing interest to improve the accuracy of relevance ranking. Recently heterogeneous semantic information such as thesauruses, semantic markups and social annotations have been adopted in search respectively for this purpose. However, although to integrate more semantics would logically generate better search results in respect of semantic relevance, such integrated semantic search mechanism is still in absence and to be researched. This paper proposes a multi-agent based semantic search approach to integrate both keywords and heterogeneous semantics. Such integration is achieved through semantic query expansion, meta search of expanded queries in varieties of existing search engines, and aggregation of all search results at the semantic level. With respect to the great volumes of distributed and dynamic Web information, this multi-agent based approach not only guarantees efficiency and reliability of search, but also enables automatic and effective cooperations for semantic integration. Experiments show that the proposed approach can effectively integrate both keywords and heterogeneous semantics for Web search.

Keywords

Semantic Search Multi-Agent System Relevance Ranking Semantic Web Social Annotation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Guha, R., Mccool, R., Miller, E.: Semantic search. In: Proceedings of WWW 2003, pp. 700–709 (2003)Google Scholar
  2. 2.
    Mayfield, J., Finin, T.: Information retrieval on the semantic web: Integrating inference and retrieval. In: SIGIR 2003 Semantic Web Workshop (2003)Google Scholar
  3. 3.
    Zhang, L., Yu, Y., Zhou, J., Lin, C., Yang, Y.: An enhanced model for searching in semantic portals. In: Proceedings of WWW 2005, pp. 453–462 (2005)Google Scholar
  4. 4.
    Bao, S., Wu, X., Fei, B., Xue, G., Su, Z., Yu, Y.: Optimizing web search using social annotations. In: Proceedings of WWW 2007, pp. 501–510 (2007)Google Scholar
  5. 5.
    Furnas, G.W., Deerwester, S., Dumais, S.T., et al.: Information retrieval using a singular value decomposition model of latent semantic structure. In: Proceedings of SIGIR 1988, pp. 465–480 (1988)Google Scholar
  6. 6.
    Voorhees, E.M.: Query expansion using lexical semantic relations. In: Proceedings of SIGIR 1994, pp. 61–69 (1994)Google Scholar
  7. 7.
    Tollari, S., Glotin, H., Maitre, J.L.: Enhancement of textual images classification using segmented visual contents for image search engine. Multimedia Tools and Applications 25(3), 405–417 (2005)CrossRefGoogle Scholar
  8. 8.
    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 34–43 (2001)CrossRefGoogle Scholar
  9. 9.
    Cohen, S., Mamou, J., Kanza, Y., Sagiv, Y.: Xsearch: A semantic search engine for XML. In: Proceedings of VLDB 2003, pp. 45–56 (2003)Google Scholar
  10. 10.
    Ding, L., Finin, T., Joshi, A., Peng, Y., Pan, R., Reddivari, P.: Search on the semantic web. IEEE Computer 10(38), 62–69 (2005)CrossRefGoogle Scholar
  11. 11.
    O’Reilly, T.: What is web 2.0: Design patterns and business models for the next generation of software. O’Reilly, Sebastopol (2005), http://www.oreilly.com/ Google Scholar
  12. 12.
    Wu, X., Zhang, L., Yu, Y.: Exploring social annotations for the semantic web. In: Proceedings of WWW 2006, pp. 417–426 (2006)Google Scholar
  13. 13.
    Rocha, C., Schwabe, D., de Aragao, M.P.: A hybrid approach for searching in the semantic web. In: Proceedings of WWW 2004, pp. 374–383 (2004)Google Scholar
  14. 14.
    Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies: Search and ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  15. 15.
    Dmitriev, D.A., Eiron, N., Fontoura, M., Shekita, E.: Using annotations in enterprise search. In: Proceedings of WWW 2006, pp. 811–817 (2006)Google Scholar
  16. 16.
    Müller, M.E.: An intelligent multi-agent architecture for information retrieval from the internet (1999)Google Scholar
  17. 17.
    Chiu, D.K.W., Leung, H.-f.: Towards ubiquitous tourist service coordination and integration: a multi-agent and semantic web approach. In: Kishino, F., Kitamura, Y., Kato, H., Nagata, N. (eds.) ICEC 2005. LNCS, vol. 3711, pp. 574–581. Springer, Heidelberg (2005)Google Scholar
  18. 18.
    Koorangi, M., Zamanifar, K.: A distributed agent based web search using a genetic algorithm. International Journal of Computer Science and Network Security 7(1), 65–76 (2007)Google Scholar
  19. 19.
    Khan, M.S., Khor, S.: Enhanced web document retrieval using automatic query expansion. Journal of the American Society for Information Science and Technology 55(1), 29–40 (2004)CrossRefGoogle Scholar
  20. 20.
    Crestani, F.: Application of spreading activation techniques in information retrieval. Artificial Intelligence Review 11(6), 453–482 (1997)CrossRefGoogle Scholar
  21. 21.
    Noy, N.F.: Semantic integration: a survey of ontology-based approaches. ACM SIGMOD Record 33(4), 65–70 (2004)CrossRefGoogle Scholar
  22. 22.
    Gruninger, M., Kopena, J.B.: Semantic integration through invariants. AI Magazine 26(1), 11–20 (2005)Google Scholar
  23. 23.
    Aberer, K., CudréMauroux, P., Hauswirth, M.: The chatty web: emergent semantics through gossiping. In: Proceedings of WWW 2003, pp. 197–206 (2003)Google Scholar
  24. 24.
    Shi, Z., Zhang, H., Cheng, Y., Jiang, Y., Sheng, Q., Zhao, Z.: Mage: An agent-oriented programming environment. In: Proceedings of IEEE International Conference on Cognitive Informatics (ICCI 2004), pp. 250–257 (2004)Google Scholar
  25. 25.
    Chu-Carroll, J., Prager, J., Czuba, K., Ferrucci, D., Duboue, P.: Semantic search via xml fragments: A high-precision approach to ir. In: Proceedings of SIGIR 2006, pp. 445–452 (2006)Google Scholar
  26. 26.
    Maguitman, A.G., Menczer, F., Roinestad, H., Vespignani, A.: Algorithmic detection of semantic similarity. In: Proceedings of WWW 2005, pp. 107–116 (2005)Google Scholar
  27. 27.
    Stojanovic, N., Struder, R., Stojanovic, L.: An approach for the ranking of query results in the semantic web. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 500–516. Springer, Heidelberg (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Rui Huang
    • 1
    • 2
  • Zhongzhi Shi
    • 1
  1. 1.Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  2. 2.Graduate School of the Chinese Academy of SciencesBeijingChina

Personalised recommendations