Experimenting with recursive queries in database and logic programming systems

This article considers the problem of reasoning on massive amounts of (possibly distributed) data. Presently, existing proposals show some limitations: (i) the quantity of data that can be handled contemporarily is limited, because reasoning is generally carried out in main-memory; (ii) the interact...

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Bibliographic Details
Published in:Theory and practice of logic programming Vol. 8; no. 2; pp. 129 - 165
Main Authors: TERRACINA, G., LEONE, N., LIO, V., PANETTA, C.
Format: Journal Article
Language:English
Published: Cambridge, UK Cambridge University Press 01.03.2008
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ISSN:1471-0684, 1475-3081
Online Access:Get full text
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Summary:This article considers the problem of reasoning on massive amounts of (possibly distributed) data. Presently, existing proposals show some limitations: (i) the quantity of data that can be handled contemporarily is limited, because reasoning is generally carried out in main-memory; (ii) the interaction with external (and independent) Database Management Systems is not trivial and, in several cases, not allowed at all; and (iii) the efficiency of present implementations is still not sufficient for their utilization in complex reasoning tasks involving massive amounts of data. This article provides a contribution in this setting; it presents a new system, called DLVDB, which aims to solve these problems. Moreover, it reports the results of a thorough experimental analysis we have carried out for comparing our system with several state-of-the-art systems (both logic and databases) on some classical deductive problems; the other tested systems are LDL++, XSB, Smodels, and three top-level commercial Database Management Systems. DLVDB significantly outperforms even the commercial database systems on recursive queries.
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ISSN:1471-0684
1475-3081
DOI:10.1017/S1471068407003158