Processing ontology alignments with SPARQL (Position paper)

Abstract : 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 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.
Type de document :
Communication dans un congrès
Proc. IEEE international workshop on Ontology alignment and visualization (OAaV), Mar 2008, Barcelona, Spain. No commercial editor., pp.913-917, 2008, 〈10.1109/CISIS.2008.126〉
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00793542
Contributeur : Jérôme Euzenat <>
Soumis le : vendredi 22 février 2013 - 15:07:03
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03
Document(s) archivé(s) le : dimanche 2 avril 2017 - 04:19:06

Fichier

euzenat2008d.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Jérôme Euzenat, Axel Polleres, François Scharffe. Processing ontology alignments with SPARQL (Position paper). Proc. IEEE international workshop on Ontology alignment and visualization (OAaV), Mar 2008, Barcelona, Spain. No commercial editor., pp.913-917, 2008, 〈10.1109/CISIS.2008.126〉. 〈hal-00793542〉

Partager

Métriques

Consultations de la notice

601

Téléchargements de fichiers

181