Identification of relevant terms to support the construction of Domain

by: Ontologies P Velardi

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A statistical approach. Evaluation: human judges compare result with a theasarus-like database (e.g., WP -Washington Post Business Term Glossary http://www.washingtonpost.com/wp-srv/business/longterm/glossary/indexag.htm

Corpus: WJS, and manually created tourism corpus, and medical news, sport news and brown corpus. Didnt mention exactly where to obtain these copies.

ZiqiZhang (公開 ) - 2007-04-11 16:50:49

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automatic, recognition, term

Abstract

Though the utility of domain Ontologies is now widely acknowledged in the IT (Information Technology) community, several barriers must be overcome before Ontologies become practical and useful tools. One important achievement would be to reduce the cost of identifying and manually entering several thousand-concept descriptions. This paper describes a text mining technique to aid an Ontology Engineer to identify the important concepts in a Domain Ontology.

@misc{citeulike:1220927, abstract = {Though the utility of domain Ontologies is now widely acknowledged in the IT (Information Technology) community, several barriers must be overcome before Ontologies become practical and useful tools. One important achievement would be to reduce the cost of identifying and manually entering several thousand-concept descriptions. This paper describes a text mining technique to aid an Ontology Engineer to identify the important concepts in a Domain Ontology.}, author = {Velardi, Ontologies P. }, citeulike-article-id = {1220927}, comment = {A statistical approach. Evaluation: human judges compare result with a theasarus-like database (e.g., WP -Washington Post Business Term Glossary http://www.washingtonpost.com/wp-srv/business/longterm/glossary/indexag.htm Corpus: WJS, and manually created tourism corpus, and medical news, sport news and brown corpus. Didnt mention exactly where to obtain these copies.}, keywords = {automatic, recognition, term}, posted-at = {2007-04-11 16:50:49}, priority = {0}, title = {Identification of relevant terms to support the construction of Domain}, url = {http://citeseer.ist.psu.edu/677441.html} }

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TY - GEN ID - citeulike:1220927 L3 - citeulike-article-id:1220927 TI - Identification of relevant terms to support the construction of Domain N2 - Though the utility of domain Ontologies is now widely acknowledged in the IT (Information Technology) community, several barriers must be overcome before Ontologies become practical and useful tools. One important achievement would be to reduce the cost of identifying and manually entering several thousand-concept descriptions. This paper describes a text mining technique to aid an Ontology Engineer to identify the important concepts in a Domain Ontology. KW - automatic KW - recognition KW - term N1 - A statistical approach. Evaluation: human judges compare result with a theasarus-like database (e.g., WP -Washington Post Business Term Glossary http://www.washingtonpost.com/wp-srv/business/longterm/glossary/indexag.htm Corpus: WJS, and manually created tourism corpus, and medical news, sport news and brown corpus. Didnt mention exactly where to obtain these copies. AU - Velardi, Ontologies UR - http://citeseer.ist.psu.edu/677441.html ER -

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