A semantic argumentation approach to collaborative ontology engineering
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Supporting small teams in cooperatively building application domain models
Expert Systems with Applications: An International Journal
Defining coupling metrics among classes in an OWL ontology
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
PRONTO: An ontology for comprehensive and consistent representation of product information
Engineering Applications of Artificial Intelligence
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
Quality assurance in collaboratively created web vocabularies
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Evaluation of the OQuaRE framework for ontology quality
Expert Systems with Applications: An International Journal
A framework for evaluating and ranking ontologies
International Journal of Metadata, Semantics and Ontologies
A formal ontology for industrial maintenance
Applied Ontology
| Hi-index | 0.00 |
Ontologies form the cornerstone of the Semantic Web and are intended to help researchers to analyze and share knowledge, and as more ontologies are being introduced, it is difficult for users to find good ontologies related to their work. Therefore, tools for evaluating and ranking the ontologies are needed. In this paper, we present OntoQA, a tool that evaluates ontologies related to a certain set of terms and then ranks them according a set of metrics that captures different aspects of ontologies. Since there are no global criteria defining how a good ontology should be, OntoQA allows users to tune the ranking towards certain features of ontologies to suit the need of their applications. We also show the effectiveness of OntoQA in ranking ontologies by comparing its results to the ranking of other comparable approaches as well as expert users.