Unsupervised matching of object models and ontologies using canonical vocabulary

Matthias Quasthoff, Max Völkel, Christoph Meinel · 2010

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.

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