Title: Category mapping for the automatic integration of category-constrained web search

Authors: Jyh-Jong Tsay, Chi-Hsiang Lin, Tzung-Bang Chen

Addresses: Department of Computer Science and Information Engineering,National Chung Cheng University, Chiayi, Taiwan, Republic of China. ' Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, Republic of China. ' Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, Republic of China

Abstract: Category-constrained search in which a category is selected to restrict the query to match instances in that category is a very popular mechanism provided by information sources. It reduces the search space, and improves both the response time and the quality of the query results. As more and more online sources are available, it is challenging to build an integrated search system which provides a unified interface and a metasearch capability to search and access all sources from different websites in one query submission. One of the fundamental problems with building such an integrated system is category mapping which maps the selected category in the unified interface to categories provided by the information sources. In this paper, we present an efficient algorithm for automatic category mapping. Our experiment shows that our approach is very convincing, and can be used to implement automatic category mapping for the integration of category-constrained search.

Keywords: category mapping; integrated web searching; text categorisation; ontology mapping; category-constrained web searches; online resources; integrated search systems; unified interfaces; metasearch capability; metasearching; websites; world wide web; internet; information sources; algorithms; data mining; business intelligence.

DOI: 10.1504/IJBIDM.2010.030298

International Journal of Business Intelligence and Data Mining, 2010 Vol.5 No.1, pp.43 - 55

Available online: 14 Dec 2009 *

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