Unsupervised Matching of Object Models and Ontologies Using Canonical Vocabulary

摘要

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.