Boolean Query Mapping Across Heterogeneous Information Sources

@article{citeulike:1671508, abstract = {Searching over heterogeneous information sources is difficult because of the non-uniform 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...}, author = {Chen and Molina, H\'ector G. and Paepcke, Andreas }, citeulike-article-id = {1671508}, journal = {IEEE Transactions on Knowledge and Data Engineering}, keywords = {work}, number = {4}, pages = {515--521}, posted-at = {2007-09-19 01:09:48}, priority = {2}, title = {Boolean Query Mapping Across Heterogeneous Information Sources}, url = {http://citeseer.ist.psu.edu/45302.html}, volume = {8}, year = {1996} }

TY - JOUR ID - citeulike:1671508 L3 - citeulike-article-id:1671508 TI - Boolean Query Mapping Across Heterogeneous Information Sources JF - IEEE Transactions on Knowledge and Data Engineering VL - 8 IS - 4 SP - 515 EP - 521 N2 - Searching over heterogeneous information sources is difficult because of the non-uniform 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... KW - work AU - Chen AU - Molina, H\'ector AU - Paepcke, Andreas PY - 1996/// UR - http://citeseer.ist.psu.edu/45302.html ER -