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Searching and Ranking Ontologies on the Semantic Web

Thomas, E., Alani, H., Sleeman, D. and Brewster, C. (2005) Searching and Ranking Ontologies on the Semantic Web. In: Workshop on Ontology Management: Searching, Selection, Ranking, and Segmentation. 3rd K-CAP 2005, 2005, Banff, Canada. pp. 57-60.

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Abstract

The number of ontologies available online is increasing constantly. Tools that are capable of searching, retrieving, and ranking ontologies are becoming crucial to facilitate ontology search and reuse. In this document, we describe OntoSearch, which is a tool for capturing and searching ontologies on the Semantic web. We also briefly describe AKTiveRank which is used to rank OWL ontologies based on certain ontology-structure analysis..

Creators:Edward Thomas, Harith Alani, Derek Sleeman, Christopher Brewster
Item Type:Conference or Workshop Item
Keywords:Ontologies, Semantic Web, Search Engine
Research Group:Intelligence, Agents, Multimedia
Deposited On:29 Mar 2006 by Alani, Harith
ID Code:12189
Last Modified:06 Jan 2010 23:30
Performance Indicator:EZ~04~01~04
Citations:Google Scholar: 3

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Zhang Y, Vasconcelos W, and Sleeman D. Onto-Search: An Ontology Search Engine (AI-2004). The 24th SGAI Int. Conf. on Innovative Techniques and Applications of AI, Cambridge, 2004.

Thomas E, Zhang Y, Sleeman D, Preece A, McKenzie C and Wright J. OntoSearch: a Service to Support the Reuse of Ontologies. Demos and Posters of the 2nd European Semantic Web Conference (ESWC), 2005.

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Alani H, Brewster C. Ontology Ranking based on the Analysis of Concept Structures. Third Int. Conf. on Knowledge Capture (K-Cap), Banff, 2005.

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Rada R, Mili H, Bicknell E, Blettner M. Development and application of a metric on semantic nets. IEEE Trans. Sys. Man. and Cybernetics, 19(1):17–30, 1989.

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