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2008

Analyzing and revising data integration schemas to improve their matchability

9 years 9 months ago
Analyzing and revising data integration schemas to improve their matchability
Data integration systems often provide a uniform query interface, called a mediated schema, to a multitude of data sources. To answer user queries, such systems employ a set of semantic matches between the mediated schema and the data-source schemas. Finding such matches is well known to be difficult. Hence much work has focused on developing semi-automatic techniques to efficiently find the matches. In this paper we consider the complementary problem of improving the mediated schema, to make finding such matches easier. Specifically, a mediated schema S will typically be matched with many source schemas. Thus, can the developer of S analyze and revise S in a way that preserves S's semantics, and yet makes it easier to match with in the future? In this paper we provide an affirmative answer to the above question, and outline a promising solution direction, called mSeer. Given a mediated schema S and a matching tool M, mSeer first computes a matchability score that quantifies how ...
Xiaoyong Chai, Mayssam Sayyadian, AnHai Doan, Arno
Added 28 Dec 2010
Updated 28 Dec 2010
Type Journal
Year 2008
Where PVLDB
Authors Xiaoyong Chai, Mayssam Sayyadian, AnHai Doan, Arnon Rosenthal, Len Seligman
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