@inproceedings{f2575583c007492abcd62306c609e481,
title = "Automatically Expanding the Synonym Set of SNOMED CT using Wikipedia",
abstract = "Clinical terminologies and ontologies are often used in natural language processing/understanding tasks as a method for semantically tagging text. One ontology commonly used for this task is SNOMED CT. Natural language is rich and varied: many different combinations of words may be used to express the same idea. It is therefore essential that ontologies and terminologies have a rich set of synonyms. One source of synonyms is Wikipedia. We examine methods for aligning concepts in SNOMED CT with articles in Wikipedia so that newly-found synonyms may be added to SNOMED CT. Our experiments show promising results and provide guidance to researchers who wish to use Wikipedia for similar tasks.",
keywords = "Natural Language Processing, Ontology, Terminology",
author = "Schlegel, \{Daniel R.\} and Chris Crowner and Elkin, \{Peter L.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IMIA and IOS Press.; 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.3233/978-1-61499-564-7-619",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "619--623",
editor = "Andrew Georgiou and Sarkar, \{Indra Neil\} and \{de Azevedo Marques\}, \{Paulo Mazzoncini\}",
booktitle = "MEDINFO 2015",
}