Schema matching on streams with accuracy guarantees

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

João Gama (Autor) FEP; Aguilar Ruiz, J (Autor) Outra; Klinkenberg, R (Autor) Outra

Revista

Título: Intelligent Data Analysis

Vol. 12 Nº 3

Páginas: 253-270

ISSN: 1088-467X

Editora: IOS PRESS

Indexação

Scopus - 4 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica