Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Computer
Coupling Metrics for Ontology-Based Systems
IEEE Software
How to Design Better Ontology Metrics
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Semantic oriented ontology cohesion metrics for ontology-based systems
Journal of Systems and Software
Measuring design complexity of semantic web ontologies
Journal of Systems and Software
Editorial: Quality of hierarchies in ontologies and folksonomies
Data & Knowledge Engineering
Attract me!: how could end-users identify interesting resources?
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
A framework for evaluating and ranking ontologies
International Journal of Metadata, Semantics and Ontologies
Hi-index | 12.05 |
Ontologies are becoming the preferred way of representing, dealing and reasoning with large volumes of information in several domains. In consequence, the creation, evaluation and maintenance of ontologies has become an engineering process that needs to be managed and measured using sound and reliable methods. As part of any ontology engineering or revision process, metrics can play a role helping in identifying possible problems or incorrect use of ontology elements, along with providing a kind of quality assessment that complements reviews requiring expert inspection. However, in spite of the fact that there are a number of ontology metric proposals described in the literature, there is a lack of empirical studies that provide a basis for their interpretation. This paper reports a systematic exploration of existing ontology metrics from a large set of ontologies extracted from the Swoogle search engine. The OntoRank value used inside the Swoogle to rank search results is used as a contrast for some existing metrics. The results show that the existing proposed metrics evaluated in general do not seem to be indicators of that ranking, but they can be helpful to identify particular kinds of ontologies.