- ACHK93.Yigal Arens, Chin Y. Chee, Chun-Nan Hsu, and Craig A. Knoblock.Retrieving and integrating data from multiple information sources. International Journal of Intelligent ~4 Cooperative Information Systems, 2(2):127- 58, 1993.Google ScholarCross Ref
- CGMH+94.Sudarshan Chawathe, Hector Garcia-Molina, Joachim Hammer, Kelly ireland, Yannis Papakonstantinou, Jeffrey Ullman, and Jennifer Widom. The TSIMMiS project: Integration of heterogeneous information sources. In Proceed. ings of the lOOth Anniversary Meeting, pages 7-18, 1994. Information Processing Society of Japan.Google Scholar
- CM77.Ashok K. Chandra and Philip M. Merlin. Optimal implementation of conjunctive queries in relational data bases. In Proceedings of the Ninth Annual A CM Symposium on the Theory of Computing, pages 77-90, 1977. Google ScholarDigital Library
- DG96.Oliver M. Duschka and Michael R. Genesereth. Answering recursive queries using views. Technical Report 96-5, Logic Group, Department of Computer Science, Stanford University, 1996.Google Scholar
- Dus96.Oliver M. Duschka. Query optimization using local completeness. Technical Report 96- 2, Logic Group, Department of Computer Science, Stanford University, 1996.Google Scholar
- EGW94.Oren Etzioni, Keith Golden, and Daniel Weld. Tractable closed world reasoning with updates. In Proceedings of the $th International Conference on Principles of Knowledge Representation and Reasoning, pages 178-189, 1994.Google ScholarCross Ref
- LRO96.Alon Y. Levy, Anand Rajaraman, and Joann J. Ordille. Querying heterogeneous information sources using source descriptions. In Proceedings of the ~~nd International Conference on Very Large Databases, 1996. Google ScholarDigital Library
- Qia96.Xiaolei Qian. Query folding. In Proceedings of the 12th International Conference on Data Engineering, pages 48-55, 1996. Google ScholarDigital Library
- SY80.Yehoshua Sagiv and Mihalis Yannakakis. Equivalence among relational expressions with the union and difference operators. J. A CM, 27 (4)'633-655, 1980. Google ScholarDigital Library
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- Query planning in infomaster
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