AquaLog: An ontology-driven question answering system for organizational semantic intranets
Web Semantics: Science, Services and Agents on the World Wide Web
Unit test frameworks
A software engineering approach to ontology building
Information Systems
Software Engineering
OntologyTest: A Tool to Evaluate Ontologies through Tests Defined by the User
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Experimenting with eXtreme design
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Debugging OWL-DL ontologies: a heuristic approach
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Modelling ontology evaluation and validation
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Debugging the missing is-a structure of networked ontologies
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
ONTO-EVOAL an ontology evolution approach guided by pattern modeling and quality evaluation
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
Hi-index | 0.00 |
Ontology engineering is lacking methods for verifying that ontological requirements are actually fulfilled by an ontology. There is a need for practical and detailed methodologies and tools for carrying out testing procedures and storing data about a test case and its execution. In this paper we first describe a methodology for conducting ontology testing, as well as three examples of this methodology for testing specific types of requirements. Next, we describe a tool that practically supports the methodology. We conclude that there is a need to support users in this crucial part of ontology engineering, and that our proposed methodology is a step in this direction.