Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16440
Title: Implication and Axiomatization of Functional Constraints on Patterns with an Application to the RDF Data Model
Authors: HELLINGS, Jelle 
GYSSENS, Marc 
Paredaens, Jan
Wu, Yuqing
Issue Date: 2014
Publisher: Springer
Source: Beierle, Christoph; Meghini, Carlo (Ed.). Foundations of Information and Knowledge Systems: 8th International Symposium, FoIKS 2014, Bordeaux, France, March 3-7, 2014, Proceedings, p. 250-269
Series/Report: Lecture Notes in Computer Science
Series/Report no.: 8367
Abstract: Akhtar et al. introduced equality-generating constraints and functional constraints as an initial step towards dependency-like integrity constraints for RDF data [1]. Here, we focus on functional constraints. The usefulness of functional constraints is not limited to the RDF data model. Therefore, we study the functional constraints in the more general setting of relations with arbitrary arity. We show that a chase algorithm for functional constraints can be normalized to a more specialized symmetry-preserving chase algorithm. This symmetry-preserving chase algorithm is subsequently used to construct a sound and complete axiomatization for the functional constraints. This axiomatization is in particular applicable in the RDF data model, solving a major open problem of Akhtar et al.
Keywords: functional constraints; chase algorithm; axiomatization
Document URI: http://hdl.handle.net/1942/16440
ISBN: 978-3-319-04938-0
DOI: 10.1007/978-3-319-04939-7_12
Rights: Copyright Springer International Publishing Switzerland 2014
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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