NDLI: Efficient and effective metasearch for a large number of text databases

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Efficient and effective metasearch for a large number of text databases

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Efficient and effective metasearch for a large number of text databases

Content Provider	ACM Digital Library
Author	Rishe, Naphtali Liu, King-Lup Wu, Wensheng Meng, Weiyi Yu, Clement
Abstract	Metasearch engines can be used to facilitate ordinary users for retrieving information from multiple local sources (text databases). In a metasearch engine, the contents of each local database is represented by a representative. Each user query is evaluated against the set of representatives of all databases in order to determine the appropriate databases to search. When the number of databases is very large, say in the order of tens of thousands or more, then a traditional metasearch engine may become inefficient as each query needs to be evaluated against too many database representatives. Furthermore, the storage requirement on the site containing the metasearch engine can be very large. In this paper, we propose to use a hierarchy of database representatives to improve the efficiency. We provide an algorithm to search the hierarchy. We show that the retrieval effectiveness of our algorithm is the same as that of evaluating the user query against all database representatives. We also show that our algorithm is efficient. In addition, we propose an alternative way of allocating representatives to sites so that the storage burden on the site containing the metasearch engine is much reduced.
Starting Page	217
Ending Page	224
Page Count	8
File Format	PDF
ISBN	1581131461
DOI	10.1145/319950.320005
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1999-11-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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