Alani, Harith and Brewster, Christopher
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In view of the need to provide tools to facilitate the reuse of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of ontologies. AKTiveRank uses as input the search terms provided by a knowledge engineer and, using the output of an ontology search engine, ranks the ontologies. We apply a number of classical metrics in an attempt to investigate their appropriateness for ranking ontologies, and compare the results with a questionnaire-based human study. Our results show that AKTiveRank will have great utility although there is potential for improvement.
|Item Type:||Conference Item|
|Copyright Holders:||2005 The Authors|
|Keywords:||Ontology ranking; ontology analysis; ranking techniques,; semantic similarity;|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Harith Alani|
|Date Deposited:||24 Mar 2010 16:08|
|Last Modified:||25 Feb 2016 06:55|
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