A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
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WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
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Ontology Evaluation and Ranking using OntoQA
ICSC '07 Proceedings of the International Conference on Semantic Computing
Semantic Inconsistency Errors in Ontology
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
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ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
A Proposal for Stable Semantic Metrics Based on Evolving Ontologies
JCAI '09 Proceedings of the 2009 International Joint Conference on Artificial Intelligence
Ontology Evaluation through Text Classification
Advances in Web and Network Technologies, and Information Management
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KAM '09 Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 02
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Semantic Web
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ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Empirical findings on ontology metrics
Expert Systems with Applications: An International Journal
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
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Reusing the increasing number of available ontologies is extremely important for the advancement and the growth of Semantic Web, because it reduces the required costs, efforts and amount of time to build new ontologies. However, the lack of standard frameworks to assess their quality and their suitability for being used in a specific context remains a barrier to their wide adoption and reuse. To address this problem, we present in this paper a framework for evaluating and ranking ontologies, with three distinctive features. First, it provides an advanced retrieval mechanism that gathers the best set of candidate ontologies. Second, it defines a rich set of metrics for assessing several ontology aspects. Third, it supplies a helpful way for visualising and interpreting the results. We implemented and evaluated the proposed metrics. The results of these evaluations are presented, indicating the usefulness of the overall framework.