Mapping biomedical vocabularies: A semi-automated term matching approach

Bahadorreza Ofoghi; Guillermo H. Lopez-Campos; Fernando J Martin-Sanchez; Karin Verspoor

doi:10.3233/978-1-61499-423-7-16

Mapping biomedical vocabularies: A semi-automated term matching approach

Bahadorreza Ofoghi^*, Guillermo H. Lopez-Campos, Fernando J Martin-Sanchez, Karin Verspoor

^*Corresponding author for this work

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

Abstract

Biomedical vocabularies vary in scope, and it is often necessary to utilize multiple vocabularies simultaneously in order to cover the full range of concepts relevant to a given biomedical application. However, as the number and size of these resources grow both redundancy (i.e., different vocabularies containing similar terms) and inconsistency (i.e., different terms in multiple vocabularies referring to the same entity) between the vocabularies increase. Therefore, there is a need for automatically aligning vocabularies. In this paper, we explore and propose new methods for detecting probable matches between two vocabularies. The methods build upon existing string similarity functions, enhancing these functions for the context of semi-automated vocabulary matching.

Original language	English
Title of host publication	Integrating Information Technology and Management for Quality of Care
Publisher	IOS Press
Pages	16-19
Number of pages	4
Volume	202
ISBN (Print)	9781614994220
DOIs	https://doi.org/10.3233/978-1-61499-423-7-16
Publication status	Published - 2014
Externally published	Yes
Event	12th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2014 - Athens, Greece Duration: 10 Jul 2014 → 13 Jul 2014

Conference

Conference	12th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2014
Country/Territory	Greece
City	Athens
Period	10/07/2014 → 13/07/2014

Keywords

Biomedical ontology
String similarity
Terminology mapping

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

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10.3233/978-1-61499-423-7-16

Cite this

@inproceedings{50ceeb9910ca42fe865fbaade387f9c0,

title = "Mapping biomedical vocabularies: A semi-automated term matching approach",

abstract = "Biomedical vocabularies vary in scope, and it is often necessary to utilize multiple vocabularies simultaneously in order to cover the full range of concepts relevant to a given biomedical application. However, as the number and size of these resources grow both redundancy (i.e., different vocabularies containing similar terms) and inconsistency (i.e., different terms in multiple vocabularies referring to the same entity) between the vocabularies increase. Therefore, there is a need for automatically aligning vocabularies. In this paper, we explore and propose new methods for detecting probable matches between two vocabularies. The methods build upon existing string similarity functions, enhancing these functions for the context of semi-automated vocabulary matching.",

keywords = "Biomedical ontology, String similarity, Terminology mapping",

author = "Bahadorreza Ofoghi and Lopez-Campos, \{Guillermo H.\} and Martin-Sanchez, \{Fernando J\} and Karin Verspoor",

year = "2014",

doi = "10.3233/978-1-61499-423-7-16",

language = "English",

isbn = "9781614994220",

volume = "202",

pages = "16--19",

booktitle = "Integrating Information Technology and Management for Quality of Care",

publisher = "IOS Press",

address = "Netherlands",

note = "12th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2014 ; Conference date: 10-07-2014 Through 13-07-2014",

}

Ofoghi, B, Lopez-Campos, GH, Martin-Sanchez, FJ & Verspoor, K 2014, Mapping biomedical vocabularies: A semi-automated term matching approach. in Integrating Information Technology and Management for Quality of Care. vol. 202, IOS Press, pp. 16-19, 12th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2014, Athens, Greece, 10/07/2014. https://doi.org/10.3233/978-1-61499-423-7-16

TY - GEN

T1 - Mapping biomedical vocabularies

T2 - 12th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2014

AU - Ofoghi, Bahadorreza

AU - Lopez-Campos, Guillermo H.

AU - Martin-Sanchez, Fernando J

AU - Verspoor, Karin

PY - 2014

Y1 - 2014

N2 - Biomedical vocabularies vary in scope, and it is often necessary to utilize multiple vocabularies simultaneously in order to cover the full range of concepts relevant to a given biomedical application. However, as the number and size of these resources grow both redundancy (i.e., different vocabularies containing similar terms) and inconsistency (i.e., different terms in multiple vocabularies referring to the same entity) between the vocabularies increase. Therefore, there is a need for automatically aligning vocabularies. In this paper, we explore and propose new methods for detecting probable matches between two vocabularies. The methods build upon existing string similarity functions, enhancing these functions for the context of semi-automated vocabulary matching.

AB - Biomedical vocabularies vary in scope, and it is often necessary to utilize multiple vocabularies simultaneously in order to cover the full range of concepts relevant to a given biomedical application. However, as the number and size of these resources grow both redundancy (i.e., different vocabularies containing similar terms) and inconsistency (i.e., different terms in multiple vocabularies referring to the same entity) between the vocabularies increase. Therefore, there is a need for automatically aligning vocabularies. In this paper, we explore and propose new methods for detecting probable matches between two vocabularies. The methods build upon existing string similarity functions, enhancing these functions for the context of semi-automated vocabulary matching.

KW - Biomedical ontology

KW - String similarity

KW - Terminology mapping

UR - https://www.scopus.com/pages/publications/84904201967

U2 - 10.3233/978-1-61499-423-7-16

DO - 10.3233/978-1-61499-423-7-16

M3 - Conference contribution

AN - SCOPUS:84904201967

SN - 9781614994220

VL - 202

SP - 16

EP - 19

BT - Integrating Information Technology and Management for Quality of Care

PB - IOS Press

Y2 - 10 July 2014 through 13 July 2014

ER -

Mapping biomedical vocabularies: A semi-automated term matching approach

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this