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Processing Ontology Alignments with SPARQL
2008
2008 International Conference on Complex, Intelligent and Software Intensive Systems
Solving 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 CON-STRUCT statement, for generating new
doi:10.1109/cisis.2008.126
dblp:conf/cisis/EuzenatPS08
fatcat:j52cfeb3sbe7bbebkwsoe3uwby