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Integration of Fuzzy Databases: Problems & Solutions

by Awadhesh Kumar Sharma, A. Goswami, D.K. Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 3
Year of Publication: 2010
Authors: Awadhesh Kumar Sharma, A. Goswami, D.K. Gupta
10.5120/645-901

Awadhesh Kumar Sharma, A. Goswami, D.K. Gupta . Integration of Fuzzy Databases: Problems & Solutions. International Journal of Computer Applications. 2, 3 ( May 2010), 36-40. DOI=10.5120/645-901

@article{ 10.5120/645-901,
author = { Awadhesh Kumar Sharma, A. Goswami, D.K. Gupta },
title = { Integration of Fuzzy Databases: Problems & Solutions },
journal = { International Journal of Computer Applications },
issue_date = { May 2010 },
volume = { 2 },
number = { 3 },
month = { May },
year = { 2010 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume2/number3/645-901/ },
doi = { 10.5120/645-901 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:52.864862+05:30
%A Awadhesh Kumar Sharma
%A A. Goswami
%A D.K. Gupta
%T Integration of Fuzzy Databases: Problems & Solutions
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 3
%P 36-40
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, problems in integration of fuzzy relational databases have been investigated and some solutions have been proposed. In general, database integration consists of two main processes called schema integration and instance integration that results into global schema and global instance respectively. Current work assumes a schema integration process to get a global schema from a collection of existing (local) fuzzy relational databases. Instance integration can be classified into three distinct levels according to the extent to which instance integration is carried out. We have focused only on the level-0 instance integration. There are two major problems in instance integration: entity identification; and attribute value conflict resolution that has been discussed in the context of fuzzy database integration and a solution is proposed.

References
  1. Batini, C., Lenzerini, M., Navade, S.B. (1986). A coperative analysis of methodlogies for database schema integration", ACM Computing Surveys 18(4), pp 323-364.Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  2. Breitbart, Y., Olson, P.L., Thompson, G.R. (1986). Database Integration in a Distributed Heterogeneous Database System", In: Proceedings of IEEE International Conference on Data Engineering, pp 301-310.
  3. Chatterjee, A., Segev, A.(1991). Data manipulation in heterogeneous databases", SIGMOD Record, 20(4), pp 64-68.
  4. Chen, A.L.P.(1990). Outerjoin Optimization in Multidatabase Systems", In: Proccedings of IEEE International Symposium on Databases in Parallel and Distributed Systems, pp 211-218.
  5. Chiang, R.H.L. , Barron, T.M., Storey, V.C .(1994). Reverse engineering of relational databases: Extraction of an EER model from a relational database". Data andKnowledge Engineering, 12(2), pp 107-142.
  6. Deen, S.M., Amin, R.R., Taylor, M.C. (1987), Data Integration in Distributed Databases", IEEE Transactions on Software Engineering, 13, pp 860-864.
  7. DeMichiel, L.G. (1989). Resolving database incompatibility: an approach to performing relational operations over mismatched domains. IEEE Trans. on Knowledge and Data Engineering 1(4), pp 485-493.
  8. Fahrner C., Vossen G.,(1995). A servey of database design transformations based on entity relationship model", Data and Knowledge Engineering, 15(3), pp 213-250.
  9. Hayne, S., Ram, S. (1990). Multi-user view integration system (MUVIS): An expert system for view integration", In: Proc. Intl. Conf. on Data Engineering, pp 402-409.
  10. Kaul, M., Drosten, K., Neuhold, E.J. (1990). Integrating heterogeneous information bases by object-oriented views", In: Proc. Intl. Conf. on Data Engineering, pp 2-10.
  11. Kim, W., Choi, I., Gala, S., Scheevel, M.(1995). On Resolving Schema Heterogeneity in Multidatabase Systems", In: Kim, W., (eds.): Modern Database Systems: the Object Model, Interoperability, and Beyond. Addison-Wesley ACM Press, pp 521-550.
  12. Larson, J.A., Navade, S.B., Elmasari, R. (1989), A theory of attribute equivalence in database with application to schema integration", IEEE Trans. on Software Engineering, 15(4), pp 449-463.
  13. Lim E.P., Srivastava J., Prabhakar S., Richardson J. (1993). Entity identification problem in database integration". In: Proc, Intl. Conf. on Data Engineering, 294-301.
  14. Lim, E.P., Srivastava, J., Shekhar, S. (1994), Resolving attribute incompatibility in database integration: An evidential reasoning approach". In: Proc, Intl. Conf. on Data Engineering, pp 154-163.
  15. Ma, Z.M., Zhang, W., Ma, W. (1999). View Relation for Schema Integration of Multiple Databases and Data Dependencies". In: Proceedings of 9th International Database Conference on Hetergeneous and Internet Databases, pp 278-289.
  16. Meier A. et al.(1994). Hierarchical to relational database migration", IEEE Software, pp 21-27.
  17. Motro, A. (1987). Super-views: Virtual Integration of Multiple Databases", IEEE Transcations on Software Engineering, 13, pp 785-798.
  18. Spaccapietra, S., Parent, C., Dupont, Y., (1992). Model independent assertions for integration of heterogeneous schemas", Very Large Database Journal, l(l), pp 81-126.
  19. Seth, A.P., Larson, J.A. (1990). Federated database systems for managing distributed heterogeneous and autonomous databases", ACM Computing Surveys, 22(3), pp 183-236.
  20. Saltor, F., Castellanos, M., Garcia-Solaco, M. (1991). Suitability of data models as canonical models for federated databases", SIGMOD Record, 20(4), pp 44-48.
  21. Tasi, P.S.M., Chen, A.L.P. (1993), Querying uncertain data in heterogeneous databases", In: Proc. RIDE-IMS Conf., pp 161-168.
  22. Tseng, F.S.C., Chen, A.L.P., Yang, W.P. (1993). Answerin Heterogeneous Database Queries with Degrees of Uncertianity", Distributed and Parallel Databases: An International Journal, 1, 281-302.
  23. Wang, Y.R., Madnick, S.E. (1989), The inter-database instance identifcation problem in integrating autonomous systems", In: Proc. Intl. Conf. on Data Engineering, pp 46-55.
  24. Zaniolo C. (1979). Design of relational views over network schemas", In: Proc. ACM SIGMOD Intl. Conf. on Management of Data, pp 179-190.
Index Terms

Computer Science
Information Sciences

Keywords

Integration of fuzzy databases fuzzy schema integration fuzzy instance integration

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