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Reformulating query plans for multidatabase systems

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Published:01 December 1993Publication History
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References

  1. Apers, P., Hevner, A., and Yao, S.B., 1983. Optimizing algorithms for distributed queries. ~EEE Trans. on Software Engineering, 9:57-68.Google ScholarGoogle Scholar
  2. Arens, Y., Chee, C., Hsu, C.-N., and Knoblock, C.A., 1993. Retrieving and integrating data from multiple information sources. International Journal on Intelligent and Cooperative Information Systems. In press.Google ScholarGoogle Scholar
  3. Arens, Y. and Knoblock, C.A., 1992. Planning and reformulating queries for semantically-modeled multidatabase systems. In Proceedings of lhe F~rst International Conference on Information and Knowledge Management, Baltimore, MD.Google ScholarGoogle Scholar
  4. Cat, Y., Cercone, N., and Han, J., 1991. Learning in relational databases: An attribute-oriented approach. Computational Intelligence, 7(3):119-132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Chakravarthy, U., Grant, J., and Minkcr, J., 1990. Logic-based approach to semantic query optimization. A CM Transactions on Database Systems, 15(2):162- 207. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Carbonell, J., Knoblock, C.A., and Minton, S., 1991. PRODIGY: An integrated architecture for planning and learning. In Kurt VanLehn, editor, Architectures for {ntelhgcnce, pages 241-278. Lawrence Erlbaum, Hillsdalc, NJ.Google ScholarGoogle Scholar
  7. Chu, W.W., Lee, R.-C., 1990. Semantic query processing via database restructuring. In Proceedings of the Eighth International Congress of Cybernetics and Systems. New York, NY.Google ScholarGoogle Scholar
  8. Forgy. C.L., 1982. RETE: A fast algorithm for the many pa~tern/many objec~ pattern ma~ching problem. Artificial Intelhgence, pages 17-37.Google ScholarGoogle Scholar
  9. Haussler, D., 1988. Quantifying inductive bias: AI learning algorithms and Vaiiant's learning framework. Artificial Intelligence, 36:177-222. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Hsu, C.-N., and Knoblock, C.A., 1993. Learning database abstractions for query reformulation. In Proceedings of AAAI-93 Workshop on Knowledge D~scovery in Databases, Washington, D(~.Google ScholarGoogle Scholar
  11. Hammer, M., and Zdonik, S., 1980. Knowledge-based query processing. In Proceedzngs of the $z~:th VLDB Conference, pages 137-146, Washington, DC.Google ScholarGoogle Scholar
  12. J arke, M. and Koch, J., 1984. Query optimization in database systems. A CM Computer Surveys, 16:111- 152. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. King, J.J., 1981 Query Optimization by Semantic Reasoning. PhD thesis, Stanford University, Department of Computer Science. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. MacGregor, R., 1990. The evolving technology of classification-based knowledge representation systems. In John Sowa, editor, Pmnciples of Semantic Networks: Explorations ~n the Representation of Knowledge. Morgan Kaufmann.Google ScholarGoogle Scholar
  15. Michalski, R.S., 1983. A theory and methodology of inductive learning, in Machine Learning: An Artzficial Intelligence Approach, volume I, pages 83-134. Morgan Kaufmann Publishers, Inc., Los Altos, CA.Google ScholarGoogle Scholar
  16. Piatetsky-Shapiro, G., 1991. Discovery, analysis, and presentation of strong rules. In G. Piatetsky-Shapiro, editor, Knowledge Discovery ~n Databases, pages 229- 248. MIT Press.Google ScholarGoogle Scholar
  17. Sheth, A.P., and Larson, J.A., 1990. Federated database systems for managing distributed, heterogeneous, and autonomous databases. A CM Computing Surveys, 22:183-236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Siegel, M.D., 1988. Automatic rule derivation for semantic query optimization. In Larry Kerschberg, editor, Proceedings of the Second International Conference on Expert Database Systems, pages 371-385. George Mason Foundation, Fairfax, VA.Google ScholarGoogle Scholar
  19. Ullm~n, J.D., 1988. Principles of Database and Knowledge-base Systems, volume II. Computer Science Press, Palo Alto, CA. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          CIKM '93: Proceedings of the second international conference on Information and knowledge management
          December 1993
          742 pages
          ISBN:0897916263
          DOI:10.1145/170088

          Copyright © 1993 ACM

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          • Published: 1 December 1993

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