Content-based Ontology Ranking
Content-based Ontology Ranking
Techniques to rank ontologies are crucial to aid and encourage the re-use of publicly available ontologies. This paper presents a system that obtains a list of ontologies from a search engine that contain the terms provided by a knowledge engineer and ranks them. The ranking of these ontologies will be done according to how many of the concept labels in those ontologies match a set of terms extracted from a corpus of documents related to the domain of knowledge identified by the knowledge engineer’s original search terms.
Jones, Mathew
2d7858c8-48d4-400f-b5a5-37da7c246835
Alani, Harith
70cdbdce-1494-44c2-9dae-65d82bf7e991
2006
Jones, Mathew
2d7858c8-48d4-400f-b5a5-37da7c246835
Alani, Harith
70cdbdce-1494-44c2-9dae-65d82bf7e991
Jones, Mathew and Alani, Harith
(2006)
Content-based Ontology Ranking.
9th International Protege Conference, Stanford, California.
23 - 26 Jul 2006.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Techniques to rank ontologies are crucial to aid and encourage the re-use of publicly available ontologies. This paper presents a system that obtains a list of ontologies from a search engine that contain the terms provided by a knowledge engineer and ranks them. The ranking of these ontologies will be done according to how many of the concept labels in those ontologies match a set of terms extracted from a corpus of documents related to the domain of knowledge identified by the knowledge engineer’s original search terms.
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Published date: 2006
Additional Information:
Event Dates: July 23-26
Venue - Dates:
9th International Protege Conference, Stanford, California, 2006-07-23 - 2006-07-26
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 262605
URI: http://eprints.soton.ac.uk/id/eprint/262605
PURE UUID: 9cf8dd9f-447f-4559-906f-c7e097165e4a
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Date deposited: 17 May 2006
Last modified: 14 Mar 2024 07:14
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Contributors
Author:
Mathew Jones
Author:
Harith Alani
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