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Multi-Agent Based Web Search with Heterogeneous Semantics

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Agent Computing and Multi-Agent Systems (PRIMA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5044))

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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.

This work is supported by National Basic Research Programme (No.2007CB311004, No.2003CB317004), 863 National High-Tech Program (No.2006AA01Z128, No. 2007AA01Z132), National Natural Science Foundation of China (No.90604017, No. 60435010, No. 60775035) and Innovation Fund of the Institute of Computing Technology (No.20060250).

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Author information

Authors and Affiliations

  1. Key Laboratory of Intelligent Information Processing Institute of Computing Technology, Chinese Academy of Sciences, P.O. Box 2704-28, 100190, Beijing, China

    Rui Huang & Zhongzhi Shi

  2. Graduate School of the Chinese Academy of Sciences, 100049, Beijing, China

    Rui Huang

Authors
  1. Rui Huang
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  2. Zhongzhi Shi
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, University of Wollongong, NSW 2522, Wollongong, Australia

    Aditya Ghose

  2. National ICT Australia, Queensland Research Laboratory, St Lucia, Queensland, Australia

    Guido Governatori

  3. Rangsit University, Bangkok, Thailand

    Ramakoti Sadananda

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© 2009 Springer-Verlag Berlin Heidelberg

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Huang, R., Shi, Z. (2009). Multi-Agent Based Web Search with Heterogeneous Semantics. In: Ghose, A., Governatori, G., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2007. Lecture Notes in Computer Science(), vol 5044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01639-4_14

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  • DOI: https://doi.org/10.1007/978-3-642-01639-4_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01638-7

  • Online ISBN: 978-3-642-01639-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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