Deep Separability of Ontological Constraints
Andrea Cal\`i, Marco Console, Riccardo Frosini

TL;DR
This paper explores the concept of separability in ontological constraints, demonstrating that under certain conditions, query answering can be simplified by focusing solely on TGDs, thus improving tractability.
Contribution
It reviews existing notions of separability, introduces deep separability for satisfiability checking, and proves that separability implies deep separability for TGDs and EGDs, extending previous results.
Findings
Deep separability allows satisfiability checking via TGDs alone.
Separability implies deep separability in the context of TGDs and EGDs.
Preliminary experiments indicate feasible query answering for sticky TGDs and EGDs.
Abstract
When data schemata are enriched with expressive constraints that aim at representing the domain of interest, in order to answer queries one needs to consider the logical theory consisting of both the data and the constraints. Query answering in such a context is called ontological query answering. Commonly adopted database constraints in this field are tuple-generating dependencies (TGDs) and equality-generating dependencies (EGDs). It is well known that their interaction leads to intractability or undecidability of query answering even in the case of simple subclasses. Several conditions have been found to guarantee separability, that is lack of interaction, between TGDs and EGDs. Separability makes EGDs (mostly) irrelevant for query answering and therefore often guarantees tractability, as long as the theory is satisfiable. In this paper we review the two notions of separability found…
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Service-Oriented Architecture and Web Services
