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Improving the Deductive System DES with Persistence by Using SQL DBMS's

This work presents how persistent predicates have been included in the in-memory deductive system DES by relying on external SQL database management systems. We introduce how persistence is supported from a user-point of view and the possible applications the system opens up, as the deductive expressive power is projected to relational databases. Also, we describe how it is possible to intermix computations of the deductive engine and the external database, explaining its implementation and some optimizations. Finally, a performance analysis is undertaken, comparing the system with current relational database systems.

preprint2015arXivOpen access
Fernando Sáenz-Pérez
Logic in Computer ScienceDatabasesArtificial Intelligence
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Open access1 author3 topics
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Fernando Sáenz-Pérez

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