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Issue No.04 - August (1996 vol.8)
pp: 515-521
ABSTRACT
<p><b>Abstract</b>—Searching over heterogeneous information sources is difficult because of the nonuniform query languages. Our approach is to allow a user to compose Boolean queries in one rich front-end language. For each user query and target source, we transform the user query into a subsuming query that can be supported by the source but that may return extra documents. The results are then processed by a filter query to yield the correct final result. In this paper we introduce the architecture and associated algorithms for generating the supported subsuming queries and filters. We show that generated subsuming queries return a minimal number of documents; we also discuss how minimal cost filters can be obtained. We have implemented prototype versions of these algorithms and demonstrated them on heterogeneous Boolean systems.</p>
INDEX TERMS
Boolean queries, query translation, information retrieval, heterogeneity, digital libraries, query subsumption, filtering.
CITATION
Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke, "Boolean Query Mapping Across Heterogeneous Information Sources", IEEE Transactions on Knowledge & Data Engineering, vol.8, no. 4, pp. 515-521, August 1996, doi:10.1109/69.536244
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