This paper presents a semantic-aware classification algorithm that can leverage the interoperability among semantically heterogeneous learning object repositories using different ...
Ming-Che Lee, Kun Hua Tsai, Tung Cheng Hsieh, Ti K...
In this paper, we describe the approach to achieve a high level of interoperability in the eduSource. The eduSource project is a panCanadian collaborative project to create a test...
In this paper, we further develop a proposed layered approach for the Semantic Web. Our objective is to build a specific solution to the problem of providing data interoperability...
Ontology mapping is the process whereby two ontologies are semantically related at conceptual level and the source ontology instances are transformed into target ontology entities...
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...