Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
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HLT '01 Proceedings of the first international conference on Human language technology research
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EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
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IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Applied Ontology
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ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
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ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
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Applied Ontology - Ontological Foundations of Conceptual Modelling
Applied Ontology
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Ontology as a discipline of Computer Science has made many claims about its usefulness, however to date there has been very little evaluation of those claims. We present the results of an experiment using a hybrid search system with a significant knowledge-based component to measure, using precision and recall, the impact of improving the quality of an ontology on overall performance. We demonstrate that improving the ontology using OntoClean (Guarino and Welty, 2002)., does positively impact performance, and that having knowledge of the search domain is more effective than domain-knowledge-free search techniques such as link analysis.