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2000•Theoretical Computer ScienceOpen access

Information integration using logical views

Jeffrey D. Ullman

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Abstract

A number of ideas concerning information-integration tools can be thought of as constructing answers to queries using views that represent the capabilities of information sources. We review the formal basis of these techniques, which are closely related to containment algorithms for conjunctive queries and/or Datalog programs. Then we compare the approaches taken by AT&T Labs’ “Information Manifold” and the Stanford “Tsimmis” project in these terms.

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What this paper is about

A number of ideas concerning information-integration tools can be thought of as constructing answers to queries using views that represent the capabilities of information sources. We review the formal basis of these techniques, which are closely related to containment algorithms for conjunctive queries and/or Datalog programs. Then we compare the approaches taken by AT&T Labs’ “Information Manifold” and the Stanford “Tsimmis” project in these terms.

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Available abstract

A number of ideas concerning information-integration tools can be thought of as constructing answers to queries using views that represent the capabilities of information sources. We review the formal basis of these techniques, which are closely related to containment algorithms for conjunctive queries and/or Datalog programs. Then we compare the approaches taken by AT&T Labs’ “Information Manifold” and the Stanford “Tsimmis” project in these terms.

Key concepts: Datalog, Computer science, Information integration, Data integration, Containment (computer programming), Conjunctive query, Theoretical computer science, Basis (linear algebra)

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