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DOI: 10.4230/LIPIcs.ICLP.2010.44
URN: urn:nbn:de:0030-drops-25820
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Brass, Stefan

Implementation Alternatives for Bottom-Up Evaluation

10003.BrassStefan.2582.pdf (0.3 MB)


Bottom-up evaluation is a central part of query evaluation / program execution in deductive databases. It is used after a source code optimization like magic sets or SLDmagic that ensures that only facts relevant for the query can be derived. Then bottom-up evaluation simply performs the iteration of the standard TP -operator to compute the minimal model. However, there are different ways to implement bottom-up evaluation efficiently. Since this is most critical for the performance of a deductive database system, and since performance is critical for the acceptance of deductive database technology, this question deserves a thorough analysis. In this paper we start this work by discussing several different implementation alternatives. Especially, we propose a new implementation of bottom-up evaluation called "Push-Method".

BibTeX - Entry

  author =	{Stefan Brass},
  title =	{{Implementation Alternatives for Bottom-Up Evaluation}},
  booktitle =	{Technical Communications of the 26th International Conference on Logic Programming},
  pages =	{44--53},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-17-0},
  ISSN =	{1868-8969},
  year =	{2010},
  volume =	{7},
  editor =	{Manuel Hermenegildo and Torsten Schaub},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-25820},
  doi =		{10.4230/LIPIcs.ICLP.2010.44},
  annote =	{Keywords: Deductive databases, bottom-up evaluation, implementation}

Keywords: Deductive databases, bottom-up evaluation, implementation
Collection: Technical Communications of the 26th International Conference on Logic Programming
Issue Date: 2010
Date of publication: 25.06.2010

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