Processing Ontology Alignments with SPARQL

Jérôme Euzenat, Axel Polleres, François Scharffe
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
more » ... ata. 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, valuegenerating built-in functions and paths, which are missing from SPARQL. Hence, we advocate the use of two SPARQL extensions providing these missing features.
doi:10.1109/cisis.2008.126 dblp:conf/cisis/EuzenatPS08 fatcat:j52cfeb3sbe7bbebkwsoe3uwby