Semantic integration research in the database community: A brief survey

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Semantic integration research in the database community: A brief survey (2005)

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by Anhai Doan , Alon Y. Halevy

Venue:	AI Magazine
Citations:	141 - 4 self

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@ARTICLE{Doan05semanticintegration,
    author = {Anhai Doan and Alon Y. Halevy},
    title = {Semantic integration research in the database community: A brief survey},
    journal = {AI Magazine},
    year = {2005},
    volume = {26},
    pages = {83--94}
}

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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 will focus in particular on schema matching, a topic that has received much attention in the database community, but will also discuss data matching (e.g., tuple deduplication), and open issues beyond the match discovery context (e.g., reasoning with matches, match verification and repair, and reconciling inconsistent data values). For previous surveys of database research on semantic integration, see (Rahm & Bernstein 2001;

Keyphrases

database community semantic integration research brief survey semantic integration database research inconsistent data value long-standing challenge rahm bernstein recent progress previous survey schema matching open research issue database application match verification much attention steady attention open issue integration process match discovery context tuple deduplication prominent area

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