NDLI: Approaches to Relating and Integrating Semantic Data from Heterogeneous Sources

Content Provider	IEEE Xplore Digital Library
Author	Keeney, J. Boran, A. Bedini, I. Matheus, C.J. Patel-Schneider, P.F.
Copyright Year	2011
Abstract	Integrating and relating heterogeneous data using inference is one of the cornerstones of semantic technologies and there are a variety of ways in which this may be achieved. Cross source relationships can be automatically translated or inferred using the axioms of RDFS/OWL, via user generated rules, or as the result of SPARQL query result transformations. For a given problem it is not always obvious which approach (or combination of approaches) will be the most effective and few guidelines exist for making this choice. This paper discusses these three approaches and demonstrates them using an "acquaintance" relationship drawn from data residing in common RDF information sources such as FOAF and DBLP data stores. The implementation of each approach is described along with practical considerations for their use. Quantitative and qualitative evaluation results of each approach are presented and the paper concludes with initial suggestions for guiding principles to help in selecting an appropriate approach for integrating heterogeneous semantic data sources.
Starting Page	170
Ending Page	177
File Size	448949
Page Count	8
File Format	PDF
ISBN	9781457713736
DOI	10.1109/WI-IAT.2011.129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	inference Semantics OWL Distributed databases query Ontologies Resource description framework Cognition rules Engines semantic integration OWL/RDF
Content Type	Text
Resource Type	Article

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