Abstract
The evolution of database systems tends to the development of higher degree of user-friendliness such that the system can be directly handled by nonprofessionals. In order to reach this goal, the database system needs to provide a query language by which queries can be specified conceptually. Also, the query condition may be relaxed such that information within a certain semantic distance to the exact answer can be obtained. Moreover, the real-world information is usually imprecise and incomplete. It is therefore important to store imprecise and incomplete information in a database, and to manipulate this information accordingly.
In this paper, we provide a conceptual query language by which fuzzy query conditions and neighborhood query conditions can be specified. Query processing strategies for these two query conditions are proposed considering imprecise and incomplete information. A domain concept hierarchy is constructed on top of a numerical domain to handle imprecise data, while dependencies between database attributes are derived for incomplete information. An application of the techniques for processing queries under network partitioning is also discussed.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Buckles, B.P. and Petry, F.E., A Fuzzy Representation of Data for Relational Databases, Fuzzy Set and Systems, 1982, pp.213–226.
Buckles, B.P. and Petry, F.E., Fuzzy Databases and their Applications, Fuzzy Information and Decision Processes, 1982, pp.361–371.
Ceri, S. and Pelagatti, G., Distributed Database Principles and Systems, New York, NY: McGraw-Hill, 1984.
Chu, W. and Chen, Q., A Structured Approach for Cooperative Query Answering, To Appear in IEEE Trans. on Knowledge and Data Engineering, 1993.
Chu, W. and Chen, Q., Neighborhood and Associative Query Answering, To Appear in Journal of Intelligent Information Systems, 1993.
Chu, W., Chen, Q. and Page, T., Cobase: Cooperative Distributed Databases, Invited Paper, Proc. of the 6th Brazilian Symposium on Databases, Brazil, 1991.
Chu, W., Chen, Q. and Lee, R., Cooperative Query Answering via Type Abstraction Hierarchy, In Cooperating Knowledge Based Systems, 1990, S.M. Deen eds, Elsevier Science Publishing Co. Inc, 1991.
Chu, W., et al., Design Considerations of a Fault Tolerant Distributed Database System by Inference Technique, Extended Abstract, Proceedings of PARBASE-90, March 6–8, 1990, Miami.
Chu, Wesley and Hwang, Andy, Inference Techniques for a Fault Tolerant Distributed Database System, Extended Abstract, Proceedings of PARBASE-90, March 6–8, 1990, Miami.
Chu, W., Hwang, A., Chen, Q. and Lee, R.C., An Inference Technique for Distributed Query Processing in a Partitioned Network, Technical Report, CSD-900005, February, 1990, UCLA.
Chu, W., Lee, R.C. and Chen, Q., Fault tolerant distributed database system via data inference, Proceedings of the Ninth Symposium on Reliable Distributed Systems, October, 1990.
Chu, W., Lee R.C. and Chiang, K., Capture database semantics by rule induction, Technical Report CSD-900013, May, 1990.
Codd, E.F., Extending the database relational model to capture more meaning, ACM Trans. Database Systems, 4(4), 1979, pp.397–434.
El Abbadi, Skeen, D. and Criistian, F., An efficient fault-tolerant protocol for replicated data management, in Proc. 4th ACM SIGACT-SIGMOD Symp. on Principles of Database Systems, 1985, pp.215–229.
Garcia-Molina, H. and Abbott, R.K., Reliable Distributed Database Management, Proc. of the IEEE, May, 1987, pp. 601–620.
Grant, J., Null values in a Relational Data Base, Inform. Process. Lett., 6, 1977, pp.156–157.
Ichikawa, T. and Hirakawa, M., ARES: A Relational Database with the Capability of Performing Flexible Interpretation of Queries, IEEE Trans. Softw. Eng. SE-12, 5,May 1986, pp.624–634.
Imielinski, T. and Lipski, W., Incomplete Information in Relational Databases, JACM, Vol.31(4), 1984, pp.761–791.
Motro, A., Supporting Goal Queries in Relational Databases, Proc. 1st International Conference on Expert Database Systems, 1986, pp.85–96.
Motro, A., VAGUE: A User Interface to Relational Databases that Permits Vague Queries, ACM Trans. on Office Information Systems, 1988, pp.187–214.
Prad, H., Lipski's Approach to Incomplete Information Databases Restated and Generalized in the Setting of Zadeh's Possibility Theory, Information Systems, 9(1), 1984, pp.27–42.
Prad, H., The Connection between Lipski's Approach to Incomplete Information Data Base and Zadeh's Possibility Theory, Proceedings of the International Conference on Systems Methodology, 5–9, Jan. 1982, pp.402–408.
Prad, H. and Testemale, C., Generalizing Database Relational Algebra for the Treatment of Incomplete or Uncertain Information and Vague Queries, Information Sciences, 1984, pp.115–143.
Takahashi, T., A Fuzzy Query Language for Relational Databases, IEEE Transactions on Systems, Man and Cybernetics, Vol.21, No.6, November/December, 1991.
Zemankava, M. and Kandel, A., Implementing Imprecision in Information Systems, Information Sciences, 1985, pp.107–141.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1994 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yen, SJ., Chen, A.L.P. (1994). Neighborhood/conceptual query answering with imprecise/incomplete data. In: Elmasri, R.A., Kouramajian, V., Thalheim, B. (eds) Entity-Relationship Approach — ER '93. ER 1993. Lecture Notes in Computer Science, vol 823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024364
Download citation
DOI: https://doi.org/10.1007/BFb0024364
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58217-5
Online ISBN: 978-3-540-48575-9
eBook Packages: Springer Book Archive