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What are the best references for self study in DATALOG? I am particularly interested in expressive power, complexity results, evaluation methods, extensions of DATALOG with negation etc. Are there any books or papers that cover all these?

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    $\begingroup$ An important relatively recent complexity paper related to DATALOG that comes to my mind is (though perhaps you are looking for surveys only): A. Atserias. On Sufficient Conditions for Unsatisfiability of Random Formulas, Journal of the ACM, 51(2), pages 281-311, 2004. $\endgroup$ – Iddo Tzameret Mar 21 '11 at 5:45
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Most of what you are looking for is well-covered in the survey

  • Stefano Ceri, Georg Gottlob, and Letizia Tanca, What you always wanted to know about Datalog (and never dared to ask), IEEE Transactions on Knowledge and Data Engineering 1 146–166, 1989. (link, reprint)

and its references. The field then went fairly quiet for a long time.

Recently various extensions to Datalog have been gaining a lot of attention, and the Datalog 2.0 conference in 2010 was well-attended. I'm personally quite partial to the Datalog± family of extensions, since they allow several kinds of description logics to be captured in a well-behaved and well-understood fragment of classical logic:

  • Andrea Calì, Georg Gottlob, and Thomas Lukasiewicz, Datalog±: a unified approach to ontologies and integrity constraints, ICDT 2009, 14–30. (link)
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The standard reference (more complete and up to date than the Ceri et al survey) is Foundations of Databases by Abiteboul, Hull, and Vianu. (Happily, Addison-Wesley has given the authors permission to post the PDFs online.)

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