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Improving Semantic Similarity for Pairs of Short Biomedical Texts with Concept Definitions and Ontology Structure

by Olivia Sanchez Graillet
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 15
Year of Publication: 2014
Authors: Olivia Sanchez Graillet
10.5120/17446-8351

Olivia Sanchez Graillet . Improving Semantic Similarity for Pairs of Short Biomedical Texts with Concept Definitions and Ontology Structure. International Journal of Computer Applications. 99, 15 ( August 2014), 1-7. DOI=10.5120/17446-8351

@article{ 10.5120/17446-8351,
author = { Olivia Sanchez Graillet },
title = { Improving Semantic Similarity for Pairs of Short Biomedical Texts with Concept Definitions and Ontology Structure },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 15 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number15/17446-8351/ },
doi = { 10.5120/17446-8351 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:15.176222+05:30
%A Olivia Sanchez Graillet
%T Improving Semantic Similarity for Pairs of Short Biomedical Texts with Concept Definitions and Ontology Structure
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 15
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Finding semantic similarity between short biomedical texts, such as article abstracts or experiment descriptions, may provide important information for health researchers. This paper presents a method for calculating text similarity in the biomedical context. The method implements a pairwise concept semantic similarity measure that uses concept definitions and ontology structure. The respective results have demonstrated an improved performance in comparison with a previous version of the method using lexical-based measures as similarity function, as well as with other alternative tools for measuring text similarity.

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Index Terms

Computer Science
Information Sciences

Keywords

semantic text similarity knowledge discovery text mining

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