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A Combined Resource of Biomedical Terminology and its Statistics


Ellendorff, Tilia Renate; van der Lek, Adrian; Furrer, Lenz; Rinaldi, Fabio (2015). A Combined Resource of Biomedical Terminology and its Statistics. In: Proceedings of the 11th International Conference on Terminology and Artificial Intelligence, Granada, 4 November 2015 - 6 November 2015, 39-49.

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.

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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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:6 November 2015
Deposited On:12 Nov 2015 11:51
Last Modified:17 Aug 2017 03:57
Related URLs:http://nbn-resolving.de/urn:nbn:de:0074-1495-6

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TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

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