Constructing a syndromic terminology resource for veterinary text mining

Lenz Furrer; Susanne Küker; John Berezowski; Horst Posthaus; Flavie Vial; Fabio Rinaldi

Constructing a syndromic terminology resource for veterinary text mining

Lenz Furrer, Susanne Küker, John Berezowski, Horst Posthaus, Flavie Vial, Fabio Rinaldi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	CEUR Workshop Proceedings
Pages	61-70
Number of pages	10
Volume	1495
Publication status	Print publication - 2015
Externally published	Yes
Event	11th International Conference on Terminology and Artificial Intelligence, TIA 2015 - Granada, Spain Duration: 4 Nov 2015 → 6 Nov 2015

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR Workshop Proceedings
ISSN (Print)	1613-0073

Conference

Conference	11th International Conference on Terminology and Artificial Intelligence, TIA 2015
Country/Territory	Spain
City	Granada
Period	4/11/15 → 6/11/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{cd97784064b942df91513b7ab1cc94c3,

title = "Constructing a syndromic terminology resource for veterinary text mining",

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.",

author = "Lenz Furrer and Susanne K{\"u}ker and John Berezowski and Horst Posthaus and Flavie Vial and Fabio Rinaldi",

year = "2015",

language = "English",

volume = "1495",

series = "CEUR Workshop Proceedings",

publisher = "CEUR Workshop Proceedings",

pages = "61--70",

booktitle = "CEUR Workshop Proceedings",

note = "11th International Conference on Terminology and Artificial Intelligence, TIA 2015 ; Conference date: 04-11-2015 Through 06-11-2015",

}

TY - GEN

T1 - Constructing a syndromic terminology resource for veterinary text mining

AU - Furrer, Lenz

AU - Küker, Susanne

AU - Berezowski, John

AU - Posthaus, Horst

AU - Vial, Flavie

AU - Rinaldi, Fabio

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84955257746&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84955257746

VL - 1495

T3 - CEUR Workshop Proceedings

SP - 61

EP - 70

BT - CEUR Workshop Proceedings

T2 - 11th International Conference on Terminology and Artificial Intelligence, TIA 2015

Y2 - 4 November 2015 through 6 November 2015

ER -

Constructing a syndromic terminology resource for veterinary text mining

Abstract

Publication series

Conference

UN SDGs

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Cite this