STARTS: Stanford proposal for Internet meta-searching
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Experiences with selecting search engines using metasearch
ACM Transactions on Information Systems (TOIS)
Ariadne: a system for constructing mediators for Internet sources
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Computing capabilities of mediators
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Describing and Using Query Capabilities of Heterogeneous Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
Information Systems Frontiers
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With the flourishing development of E-Commerce and the exponential growth of information produced by businesses, organizations and individuals on the Internet, it becomes more and more difficult for a person to find information efficiently by only using one or a few search engine(s), due to the great diversity among heterogeneous sources. This paper proposes a method for building adaptive meta-search engines with which (1) users can express their information needs sufficiently and easily, and (2) those sources that may answer user queries best can be selected, and the mapping between user queries and the query capabilities of target sources is performed more accurately. Experiments show that this adaptive method for constructing a meta-search engine can achieve more precision than traditional ways. The method can be applied to all kinds of information integration systems on the Internet, as well as on corporate Intranets.