Semantic-integration research in the database community: a brief survey.: An article from: AI Magazine

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From the author: 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).

Citation Details
Title: Semantic-integration research in the database community: a brief survey.
Author: AnHai Doan
Publication:AI Magazine (Refereed)
Date: March 22, 2005
Publisher: American Association for Artificial Intelligence
Volume: 26 Issue: 1 Page: 83(12)

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