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Unsupervised Matching of Object Models and Ontologies Using Canonical Vocabulary

Published: 2010 September
Herausgeber: Paschke, Adrian and Henze, Nicola and Pellegrini, Tassilo
Buchtitel: I-SEMANTICS '10: Proceedings of the 6th International Conference on Semantic Systems
Verlag: ACM
Erscheinungsort: New York, NY, USA
Organisation: ACM

Referierte Veröffentlichung


This paper presents a new method for publishing and consuming RDF data using object-oriented programming. We improve Object Triple Mapping (OTM) by separating (1) the transformation process between object-oriented data and RDF data from (2) explaining the transformation results using established Semantic Web vocabulary. To achieve this separation, we introduce a canonical vocabulary for object models. As a result, the Semantic Web expertise required to develop RDF-enabled applications is reduced.

Download: Media:Quasthoff-Völkel-Meinel.pdf
DOI Link: 10.1145/1839707.1839716