Dynamic Integration and Query Processing with Ranked Role Sets

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Author

Christopher Clifton

Tech report number

CERIAS TR 2001-152

Entry type

conference

Abstract

The role-set approach is a new conceptual framework for data integration in multidatabase systems that maintains the materialization autonomy of local database systems and provides users with more accurate information. The role-set approach presents the answer to a query as a set of relations where the distinct intersections between the relations corresponding to the various roles played by an entity. In this paper we show how the basic role-based approach can be extended in the absence of information about the multidatabase keys (global IDs). We propose a strategy based on ranked role-sets that makes use of a semantic integration procedure based on neural networks to determine candidate global IDs. The data integration and query processing steps then produce a number of role-sets, ranked by the similarity of the candidate IDs.

Date

1996 – 06

URL

http://csdl2.computer.org/pers ... 0.1109/COOPIS.1996.555007

Key alpha

Clifton

Note

Proceedings of the First IFCIS International Conference on Cooperative Information Systems (CoopIS'96) June 19-21, 1996 in Brussels, Belgium

Publication Date

2001-06-01

BibTex-formatted data

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@Conference{ Clifton,
	title = "Dynamic Integration and Query Processing with Ranked Role Sets",
	author = "Christopher Clifton",
	year = "1996",
	month = "06",
	note = "Proceedings of the First IFCIS International Conference on Cooperative Information Systems (CoopIS'96)
June 19-21, 1996 in Brussels, Belgium",
	abstract = "The role-set approach is a new conceptual framework for data integration in multidatabase systems that maintains the materialization autonomy of local database systems and provides users with more accurate information. The role-set approach presents the answer to a query as a set of relations where the distinct intersections between the relations corresponding to the various roles played by an entity. In this paper we show how the basic role-based approach can be extended in the absence of information about the multidatabase keys (global IDs). We propose a strategy based on ranked role-sets that makes use of a semantic integration procedure based on neural networks to determine candidate global IDs. The data integration and query processing steps then produce a number of role-sets, ranked by the similarity of the candidate IDs.",
	url = "http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/coopis/1996/7505/00/7505toc.xml&DOI=10.1109/COOPIS.1996.555007",
}