DocumentCode :
1763596
Title :
Checking Chase Termination: Cyclicity Analysis and Rewriting Techniques
Author :
Greco, Sergio ; Spezzano, Francesca ; Trubitsyna, Irina
Author_Institution :
DIMES, Univ. della Calabria, Cosenza, Italy
Volume :
27
Issue :
3
fYear :
2015
fDate :
March 1 2015
Firstpage :
621
Lastpage :
635
Abstract :
The aim of this paper is to present more general criteria and techniques for chase termination. We first present extensions of the well-known stratification criterion and introduce a new criterion, called local stratification, which generalizes both super-weak acyclicity and stratification-based criteria (including the class of constraints which are inductively restricted). Next, the paper presents a rewriting algorithm transforming the original set of constraints Σ into an “equivalent” set Σα and verifying the structural properties for chase termination on Σα. The rewriting of constraints allows us to recognize larger classes of constraints for which chase termination is guaranteed. In particular, we show that if Σ satisfies chase termination conditions T, then the rewritten set Σα satisfies T as well, but the vice versa is not true, that is there are significant classes of constraints for which Σα satisfies T and Σ does not. A more general rewriting algorithm producing as output an equivalent set of dependencies and a Boolean value stating whether a sort of cyclicity has been detected is also proposed. The new rewriting technique and the checking of acyclicity allow us to introduce the class of acyclic constraints, which generalizes local stratification and guarantees that all chase sequences are finite with a length polynomial in the size of the input database.
Keywords :
Boolean functions; rewriting systems; Boolean value; chase termination; cyclicity analysis; general rewriting algorithm; local stratification; Algorithm design and analysis; Data integration; Databases; Null value; Polynomials; Safety; Standards; Data exchange; chase algorithm; chase termination; data integration;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2014.2339816
Filename :
6858064
Link To Document :
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