The paper proposes a framework for building learning object (LO) content using ontologies. In the previous work on using ontologies to describe LOs, researchers employed ontologies...
Dragan Gasevic, Jelena Jovanovic, Vladan Devedzic,...
We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing ...
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Modularity is a key requirement for collaborative ontology engineering and for distributed ontology reuse on the Web. Modern ontology languages, such as OWL, are logic-based, and ...
Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazako...
Ontology is a comprehensive knowledge model which enables the developer to practice a “higher” level of reuse of knowledge. Typically, different modeling languages are employe...