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dc.contributor.authorPolleres, Axelen
dc.identifier.citationJérôme Euzenat, Axel Polleres, François Scharffe "Processing ontology alignments with SPARQL", International Workshop on Ontology Alignment and Visualization - OnAV'08, in conjunction with International Conference on Complex, Intelligent and Software Intensive Systems, IEEE Computer Society Press, 2008.en
dc.description.abstractSolving problems raised by heterogeneous ontologies can be achieved by matching the ontologies and processing the resulting alignments. This is typical of data mediation in which the data must be translated from one knowledge source to another . We propose to solve the data translation problem, i.e. the processing part, using the SPARQL query language. Indeed, such a language is particularly adequate for extracting data from one ontology and, through its CONSTRUCT statement, for generating new data. We present examples of such transformations, but we also present a set of example correspondences illustrating the needs for particular representation constructs, such as aggregates, value- generating built-in functions and paths, which are missing from SPARQL. Hence, we advocate the use of two SPARQL extensions providing these missing features.en
dc.subject.lcshQuery languages (Computer science)en
dc.titleProcessing ontology alignments with SPARQLen
dc.typeWorkshop paperen
dc.local.publisherstatement©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.contributor.funderScience Foundation Irelanden

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