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2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06)
A Semantic Learning Approach for Mapping Unstructured Query to Web Resources
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2747-7
Gan Keng Hoon, Universiti Malaya, Malaysia; Universiti Sains Malaysia, Malaysia
Phang Keat Keong, Universiti Malaya, Malaysia
Tang Enya Kong, Universiti Sains Malaysia, Malaysia
The search that involves structured web resources like XML data, services is still lagging of its own method and relying on contemporary search systems. This paper presents a method that learns semantics from structured information of these resources. Instead of committing the semantic meaning of resources to strict and formal vocabularies like ontology or data dictionary, we are interested to interpret the meaning based on the natural context of the resources. The semantics are used in search process, i.e. query reasoning and resource selection, to provide better answer in terms of context relevancy and clearer result description.
Citation:
Gan Keng Hoon, Phang Keat Keong, Tang Enya Kong, "A Semantic Learning Approach for Mapping Unstructured Query to Web Resources," wi, pp.494-497, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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