A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Computers in Industry - Special double issue: WET ICE '95
Prolog (3rd ed.): programming for artificial intelligence
Prolog (3rd ed.): programming for artificial intelligence
Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
EDUTELLA: a P2P networking infrastructure based on RDF
Proceedings of the 11th international conference on World Wide Web
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Authoring of learning styles in adaptive hypermedia: problems and solutions
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A semiotic metrics suite for assessing the quality of ontologies
Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
Bringing Semantics to Web Services with OWL-S
World Wide Web
Automatic evaluation of ontologies (AEON)
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Using Web-Based Teaching Interventions in Computer Science Courses
IEEE Transactions on Education
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Trying out or updating an existing learning ontology and providing evaluation tools to assess its quality are essential steps before putting an e-learning system online. Ontology evaluation is a crucial task and it is usually the output of an automatic process. This paper proposes an ontology-driven model, called Ontology-Driven model for the Evaluation of Learning Ontologies (ODELO), for the evaluation of ontologies representing learning resources with respect to syntactic, semantic, pragmatic, social and cohesion metrics. Syntax deals with the formal relations between signs (e.g., words, phrases, sentences) and the production of new ones. Semantics is the study of the relationships between the system of signs and their meanings. Pragmatics is the study of natural language understanding. Social metrics reflect the fact that software agents and ontologies coexist and communicate in communities. Ontology cohesion metrics refer to the degree of relatedness of ontology classes. ODELO is a deductive evaluation model that identifies the elements of ontological quality for learning ontologies. In this paper we propose a framework for assessing the quality of learning ontologies, which constitute the basis for intelligent educational Adaptive Hypermedia (AH) systems. We introduce a new pragmatic quality metric for assessing the quality of learning ontologies.