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Boolean query mapping across heterogeneous information sources

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3 Author(s)
Chang, K.C.-C. ; Dept. of Electr. Eng., Stanford Univ., CA, USA ; Garcia-Molina, H. ; Paepcke, A.

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. 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

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:8 ,  Issue: 4 )