Tilia Ellendorff, Adrian Van der Lek, Lenz Furrer, Fabio Rinaldi
{"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":null,"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":0.0000,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Terminology and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5167/UZH-114510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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.
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