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Reseach Article

Using Concept Definitions and Ontology Structure to Measure Semantic Similarity in Biomedicine

by Olivia Sanchez Graillet
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 6
Year of Publication: 2014
Authors: Olivia Sanchez Graillet
10.5120/ijais14-451200

Olivia Sanchez Graillet . Using Concept Definitions and Ontology Structure to Measure Semantic Similarity in Biomedicine. International Journal of Applied Information Systems. 7, 6 ( July 2014), 1-5. DOI=10.5120/ijais14-451200

@article{ 10.5120/ijais14-451200,
author = { Olivia Sanchez Graillet },
title = { Using Concept Definitions and Ontology Structure to Measure Semantic Similarity in Biomedicine },
journal = { International Journal of Applied Information Systems },
issue_date = { July 2014 },
volume = { 7 },
number = { 6 },
month = { July },
year = { 2014 },
issn = { 2249-0868 },
pages = { 1-5 },
numpages = {9},
url = { https://www.ijais.org/archives/volume7/number6/659-1200/ },
doi = { 10.5120/ijais14-451200 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:55:07.509023+05:30
%A Olivia Sanchez Graillet
%T Using Concept Definitions and Ontology Structure to Measure Semantic Similarity in Biomedicine
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 7
%N 6
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Semantic similarity is useful in different areas of Natural Language Processing (NLP), such as word-sense disambiguation and nameentity recognition, as well as in information retrieval. On the other hand, specialised NLP tools are required in the biomedical context due to the huge amount of information currently available in digital publications that can be explored. This paper presents a method for calculating the semantic similarity between pairs of biomedical concepts defined in an ontology derived from the SNOMED-CT vocabulary. A final semantic similarity is obtained by calculating the similarity between the components of the two concept definitions based on their shared and unshared ancestors in the ontology hierarchy. The results are compared with other methods as well as with human expert ranks as baseline.

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Index Terms

Computer Science
Information Sciences

Keywords

Semantic similarity Knowledge discovery Biomedical ontologies Knowledge representation