BIOTEX: A system for biomedical terminology extraction, ranking, and validation
Term extraction is an essential task in domain knowledge acquisition. Although hundreds of terminologies and ontologies exist in the biomedical domain, the language evolves faster than our ability to formalize and catalog it. We may be interested in the terms and words explicitly used in our corpus in order to index or mine this corpus or just to enrich currently available terminologies and ontologies. Automatic term recognition and keyword extraction measures are widely used in biomedical text mining applications. We present BIOTEX, a Web application that implments state-of-the-art measures for automatic extraction of biomedical terms from free text in English and French.
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dig-cirad-fr-5769852022-04-15T09:45:41Z http://agritrop.cirad.fr/576985/ http://agritrop.cirad.fr/576985/ BIOTEX: A system for biomedical terminology extraction, ranking, and validation. Lossio Ventura Juan Antonio, Jonquet Clément, Roche Mathieu, Teisseire Maguelonne. 2014. In : Proceedings of the ISWC 2014 Posters and Demonstrations Track - 13th International Semantic Web Conference. Matthew Horridge (ed.), Marco Rospocher (ed.), Jacco van Ossenbruggen (ed.). s.l. : CEUR-WS, 157-160. (CEUR Workshop Proceedings, 1272) International Semantic Web Conference (ISWC). 13, Riva del Garda, Italie, 19 Octobre 2014/23 Octobre 2014.http://ceur-ws.org/Vol-1272/ <http://ceur-ws.org/Vol-1272/> Researchers BIOTEX: A system for biomedical terminology extraction, ranking, and validation Lossio Ventura, Juan Antonio Jonquet, Clément Roche, Mathieu Teisseire, Maguelonne eng 2014 CEUR-WS Proceedings of the ISWC 2014 Posters and Demonstrations Track - 13th International Semantic Web Conference C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques Term extraction is an essential task in domain knowledge acquisition. Although hundreds of terminologies and ontologies exist in the biomedical domain, the language evolves faster than our ability to formalize and catalog it. We may be interested in the terms and words explicitly used in our corpus in order to index or mine this corpus or just to enrich currently available terminologies and ontologies. Automatic term recognition and keyword extraction measures are widely used in biomedical text mining applications. We present BIOTEX, a Web application that implments state-of-the-art measures for automatic extraction of biomedical terms from free text in English and French. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/576985/1/Lossio_ISWC2014.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html http://ceur-ws.org/Vol-1272/ info:eu-repo/semantics/altIdentifier/purl/http://ceur-ws.org/Vol-1272/ info:eu-repo/semantics/reference/purl/http://ceur-ws.org/Vol-1272/paper_122.pdf |
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C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques Lossio Ventura, Juan Antonio Jonquet, Clément Roche, Mathieu Teisseire, Maguelonne BIOTEX: A system for biomedical terminology extraction, ranking, and validation |
description |
Term extraction is an essential task in domain knowledge acquisition. Although hundreds of terminologies and ontologies exist in the biomedical domain, the language evolves faster than our ability to formalize and catalog it. We may be interested in the terms and words explicitly used in our corpus in order to index or mine this corpus or just to enrich currently available terminologies and ontologies. Automatic term recognition and keyword extraction measures are widely used in biomedical text mining applications. We present BIOTEX, a Web application that implments state-of-the-art measures for automatic extraction of biomedical terms from free text in English and French. |
format |
conference_item |
topic_facet |
C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques |
author |
Lossio Ventura, Juan Antonio Jonquet, Clément Roche, Mathieu Teisseire, Maguelonne |
author_facet |
Lossio Ventura, Juan Antonio Jonquet, Clément Roche, Mathieu Teisseire, Maguelonne |
author_sort |
Lossio Ventura, Juan Antonio |
title |
BIOTEX: A system for biomedical terminology extraction, ranking, and validation |
title_short |
BIOTEX: A system for biomedical terminology extraction, ranking, and validation |
title_full |
BIOTEX: A system for biomedical terminology extraction, ranking, and validation |
title_fullStr |
BIOTEX: A system for biomedical terminology extraction, ranking, and validation |
title_full_unstemmed |
BIOTEX: A system for biomedical terminology extraction, ranking, and validation |
title_sort |
biotex: a system for biomedical terminology extraction, ranking, and validation |
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CEUR-WS |
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http://agritrop.cirad.fr/576985/ http://agritrop.cirad.fr/576985/1/Lossio_ISWC2014.pdf |
work_keys_str_mv |
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