Tilia Ellendorff, Adrian Van der Lek, Lenz Furrer, Fabio Rinaldi
In this paper, we present a large biomedical term resource automatically compiled from the terminology of a selection of biomedical databases. The resource has a very simple and intuitive format and therefore can be easily embedded into a system for biomedical text mining and used as a linguistic resource. It is continuously updated and a user interface makes it possible to compile a new term resource according to individual requirements by selecting specific databases to be included. We present statistics for each included biomedical entity type separately as well as in the context of the combined terminology.
{"title":"A Combined Resource of Biomedical Terminology and its Statistics","authors":"Tilia Ellendorff, Adrian Van der Lek, Lenz Furrer, Fabio Rinaldi","doi":"10.5167/UZH-114510","DOIUrl":"https://doi.org/10.5167/UZH-114510","url":null,"abstract":"In this paper, we present a large biomedical term resource automatically compiled from the terminology of a selection of biomedical databases. The resource has a very simple and intuitive format and therefore can be easily embedded into a system for biomedical text mining and used as a linguistic resource. It is continuously updated and a user interface makes it possible to compile a new term resource according to individual requirements by selecting specific databases to be included. We present statistics for each included biomedical entity type separately as well as in the context of the combined terminology.","PeriodicalId":269925,"journal":{"name":"International Conference on Terminology and Artificial Intelligence","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123372259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lenz Furrer, S. Küker, J. Berezowski, H. Posthaus, F. Vial, Fabio Rinaldi
Public health surveillance systems rely on the automated monitoring of large amounts of text. While building a text mining system for veterinary syndromic surveillance, we exploit automatic and semi-automatic methods for terminology construction at different stages. Our approaches include term extraction from free-text, grouping of term variants based on string similarity, and linking to an existing medical ontology.
{"title":"Constructing a Syndromic Terminology Resource for Veterinary Text Mining","authors":"Lenz Furrer, S. Küker, J. Berezowski, H. Posthaus, F. Vial, Fabio Rinaldi","doi":"10.5167/UZH-114496","DOIUrl":"https://doi.org/10.5167/UZH-114496","url":null,"abstract":"Public health surveillance systems rely on the automated monitoring of large amounts of text. While building a text mining system for veterinary syndromic surveillance, we exploit automatic and semi-automatic methods for terminology construction at different stages. Our approaches include term extraction from free-text, grouping of term variants based on string similarity, and linking to an existing medical ontology.","PeriodicalId":269925,"journal":{"name":"International Conference on Terminology and Artificial Intelligence","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126409310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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