id: 05546399
dt: a
an: 05546399
au: Huang, Rui; Shi, Zhongzhi
ti: Multi-agent based web search with heterogeneous semantics.
so: Ghose, Aditya (ed.) et al., Agent computing and multi-agent systems. 10th
    Pacific Rim international conference on multi-agents, PRIMA 2007,
    Bangkok, Thailand, November 21‒23, 2007. Revised papers. Berlin:
    Springer (ISBN 978-3-642-01638-7/pbk). Lecture Notes in Computer
    Science 5044. Lecture Notes in Artificial Intelligence, 158-170 (2009).
py: 2009
pu: Berlin: Springer
la: EN
cc: 
ut: Semantic Search; Multi-Agent System; Relevance Ranking; Semantic Web;
    Social Annotation
ci: 
li: doi:10.1007/978-3-642-01639-4_14
ab: Summary: 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.
rv: