Horn clause transformation by restrictor in deductive databases:

Abstract: "Several methods have been proposed to improve the performance of bottom-up evaluation by query transformation (or rule rewriting) in the deductive database field. One way to realize this improvement is to introduce new predicates such as magic predicates to be used as filters. This i...

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Bibliographic Details
Format: Book
Language:English
Published: Tokyo, Japan 1988
Series:Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 407
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Summary:Abstract: "Several methods have been proposed to improve the performance of bottom-up evaluation by query transformation (or rule rewriting) in the deductive database field. One way to realize this improvement is to introduce new predicates such as magic predicates to be used as filters. This is considered as one of the most promising ways to realize efficient query processing. Most algorithms in this category are formulated based on the procedural semantics of the top-down evaluation, and their logical meaning is difficult to recognize. This paper proposes a method called Horn clause transformation by restrictor (HCT/R) based on the declarative semantics. HCT/R is formulated as an equivalent transformation that maps the least Herbrand model to a smaller model
It is most general in this category and can be considered as a logical foundation of methods in this category. Optimization of this transformation is also discussed and an optimal algorithm is proposed.
Physical Description:26 S.

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