Proceedings of the 4th International Workshop on Logic in Databases 2011
DOI: 10.1145/1966357.1966365
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On Armstrong-compliant logical query languages

Abstract: We present a simple logical query language called RL for expressing different kinds of rules and we study how this language behaves with respect to the well-known Armstrong's axioms. We point out some negative results, e.g. it is undecidable to know whether or not a query from this language is "Armstrong compliant". The main contribution of this paper is to exhibit a restricted form of RL-queries -yet with a good expressive power -for which Armstrong's axioms are sound. From this result, this sublanguage turns… Show more

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Cited by 2 publications
(3 citation statements)
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“…In [5], a slightly different language for rule mining has been proposed. One of the main results was to point out that every query was "Armstrong-compliant", meaning basically that Armstrong axioms are sound and that each query defines a closure system.…”
Section: Theoretical Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In [5], a slightly different language for rule mining has been proposed. One of the main results was to point out that every query was "Armstrong-compliant", meaning basically that Armstrong axioms are sound and that each query defines a closure system.…”
Section: Theoretical Resultsmentioning
confidence: 99%
“…Indeed, the machinery introduced in this paper generalizes the computation of agree sets (a base of the closure system associated with FD) to every RQL query. Moreover, the paper is a major extension of [5,17]: [5] provides a logical view on the ad-hoc language proposed in [6], with some restrictions (e.g. only one relation schema).…”
Section: Related Workmentioning
confidence: 99%
“…From previous works [2], [3], [4], RQL is compliant with Armstrong's axioms, i.e. the language generalizes functional dependencies to a new class of dependencies based on logical implications (if ... then statements).…”
Section: Demo Contributionmentioning
confidence: 99%