article

Semantic-integration research in the database community

Authors:

Alon Y. HalevyAuthors Info & Claims

AI Magazine, Volume 26, Issue 1

Pages 83 - 94

Published: 01 March 2005 Publication History

Abstract

Semantic integration has been a long-standing challenge for the database community. It has received steady attention over the past two decades, and has now become a prominent area of database research. In this article, we first review database applications that require semantic integration and discuss the difficulties underlying the integration process. We then describe recent progress and identify open research issues. We focus in particular on schema matching, a topic that has received much attention in the database community, but also discuss data matching (for example, tuple deduplication) and open issues beyond the match discovery context (for example, reasoning with matches, match verification and repair, and reconciling inconsistent data values). For previous surveys of database research on semantic integration, see Rahm and Bernstein (2001); Ouksel and Seth (1999); and Batini, Lenzerini, and Navathe (1986).

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cover image AI Magazine

AI Magazine Volume 26, Issue 1

Spring 2005

216 pages

ISSN:0738-4602

EISSN:2371-9621

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American Association for Artificial Intelligence

United States

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Published: 01 March 2005

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