Paper Info
Title
SWRL rule-selection methodology for ontology interoperability
Abstract
Data interoperability represents a great challenge for today's enterprises. Indeed, they use various information systems, each relying on several different models for data representation. Ontologies and notably ontology matching have been recognized as interesting approaches for solving the data interoperability problem. In this paper, we focus on improving the performance of queries addressed over ontology alignments expressed through SWRL rules. Indeed, when considering the context of executing queries over complex and numerous alignments, the number of SWRL rules highly impacts the query execution time. Moreover, when hybrid or backward-chaining reasoning is applied, the query execution time may grow exponentially. Still, the reasoners involved deliver performant results (in terms of execution time) when applied over reduced and simpler rule sets. Based on this statement, and to address the issue of improving the query execution time, we describe a novel approach that allows, for a given query, to ignore unnecessary rules. The proposed Rule Selector (RS) is a middleware between the considered systems and the reasoner present on the triple store side. Through the benchmarks realized we prove that our approach allows considerably minimizing query execution time.
Year
DOI
Venue
2016
10.1016/j.datak.2015.09.001
Data Knowl. Eng.
Keywords
Field
DocType
Ontology alignment,OWL,SWRL,SPARQL,Backward-chaining reasoning,Interoperability
Ontology (information science),Ontology,Data mining,Ontology alignment,Semantic reasoner,External Data Representation,Information retrieval,Interoperability,Computer science,SPARQL,RDF Schema,Database
Journal
Volume
Issue
ISSN
105
C
0169-023X
Citations 
PageRank 
References 
6
0.43
25
Authors
3
Name
Order
Citations
PageRank
Tarcisio M. Farias1275.08
Ana Roxin2264.41
Christophe Nicolle36815.68