Schema matching on streams with accuracy guarantees

• Type: Article in International Scientific Journal
• Date: 2008

Authors

João Gama (Author) FEP; Aguilar Ruiz, J (Author) Other; Klinkenberg, R (Author) Other

Journal

Title: Intelligent Data Analysis

Vol. 12 No. 3

Pages: 253-270

ISSN: 1088-467X

Publisher: IOS PRESS

Indexing

Scopus - 4 Citations

Other information

Authenticus ID: P-007-NEW

Abstract (EN): We address the problem of matching imperfectly documented schemas of data streams and large databases. Instance-level schema matching algorithms identify likely correspondences between attributes by quantifying the similarity of their corresponding values. However, exact calculation of these similarities requires processing of all database records - which is infeasible for data streams. We devise a fast matching algorithm that uses only a small sample of records, and is yet guaranteed to find a matching that is a close approximation of the matching that would be obtained if the entire stream were processed. The method can be applied to any given (combination of) similarity metrics that can be estimated from a sample with bounded error; we apply the algorithm to several metrics. We give a rigorous proof of the method's correctness and report on experiments using large databases.

Language: English

Type (Professor's evaluation): Scientific