The Lowell database research self-assessment
Communications of the ACM - Adaptive complex enterprises
A mapping system for the integration of OWL-DL ontologies
Proceedings of the first international workshop on Interoperability of heterogeneous information systems
From SPARQL to rules (and back)
Proceedings of the 16th international conference on World Wide Web
Information integration in the enterprise
Communications of the ACM - Enterprise information integration: and other tools for merging data
Processing Ontology Alignments with SPARQL
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
Application of ontology translation
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Ontology mapping and SPARQL rewriting for querying federated RDF data sources
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
A smart campus prototype for demonstrating the semantic integration of heterogeneous data
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
An Empirical Analysis of Semantic Techniques Applied to a Network Management Classification Problem
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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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.