Employing ontology enrichment algorithm in classifying biomedical text abstracts

The application of text classification systems on biomedical literature aims to select articles relevant to a specific issue from large corpora. As the amount of online biomedical literature grows, the task of finding relevant information becomes very complicated, due to the difficulties in browsing...

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Main Authors: Dollah @ Md. Zain, Rozilawati, Aono, Masaki
Format: Article
Published: International Journal of Computer Science Issues 2014
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Online Access:http://eprints.utm.my/id/eprint/59718/
https://www.ijcsi.org/articles/Employing-ontology-enrichment-algorithm-in-classifying-biomedical-text-abstracts.php
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Institution: Universiti Teknologi Malaysia
id my.utm.59718
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spelling my.utm.597182022-01-11T04:09:00Z http://eprints.utm.my/id/eprint/59718/ Employing ontology enrichment algorithm in classifying biomedical text abstracts Dollah @ Md. Zain, Rozilawati Aono, Masaki QA75 Electronic computers. Computer science The application of text classification systems on biomedical literature aims to select articles relevant to a specific issue from large corpora. As the amount of online biomedical literature grows, the task of finding relevant information becomes very complicated, due to the difficulties in browsing and searching the relevant information through the web. Ontology is useful for organizing and navigating the We b sites and also for improving the accuracy of Web searches. It provides a shared understanding of domain, to overcome differences in terminology such as synonym, term variants and terms ambiguity. However, one of the problems raised in ontology is the maintenance of these bases of concepts. Therefore, we investigate and propose an ontology enrichment algorithm as one of the methods to modify an existing ontology. In this research, we present a new ontology enrichment algorithm for assigning or associating each concept in the training ontology with the relevant and informative features from biomedical information sources. International Journal of Computer Science Issues 2014-05 Article PeerReviewed Dollah @ Md. Zain, Rozilawati and Aono, Masaki (2014) Employing ontology enrichment algorithm in classifying biomedical text abstracts. International Journal of Computer Science Issues, 11 (3). pp. 190-198. ISSN 1694-0814 https://www.ijcsi.org/articles/Employing-ontology-enrichment-algorithm-in-classifying-biomedical-text-abstracts.php
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Dollah @ Md. Zain, Rozilawati
Aono, Masaki
Employing ontology enrichment algorithm in classifying biomedical text abstracts
description The application of text classification systems on biomedical literature aims to select articles relevant to a specific issue from large corpora. As the amount of online biomedical literature grows, the task of finding relevant information becomes very complicated, due to the difficulties in browsing and searching the relevant information through the web. Ontology is useful for organizing and navigating the We b sites and also for improving the accuracy of Web searches. It provides a shared understanding of domain, to overcome differences in terminology such as synonym, term variants and terms ambiguity. However, one of the problems raised in ontology is the maintenance of these bases of concepts. Therefore, we investigate and propose an ontology enrichment algorithm as one of the methods to modify an existing ontology. In this research, we present a new ontology enrichment algorithm for assigning or associating each concept in the training ontology with the relevant and informative features from biomedical information sources.
format Article
author Dollah @ Md. Zain, Rozilawati
Aono, Masaki
author_facet Dollah @ Md. Zain, Rozilawati
Aono, Masaki
author_sort Dollah @ Md. Zain, Rozilawati
title Employing ontology enrichment algorithm in classifying biomedical text abstracts
title_short Employing ontology enrichment algorithm in classifying biomedical text abstracts
title_full Employing ontology enrichment algorithm in classifying biomedical text abstracts
title_fullStr Employing ontology enrichment algorithm in classifying biomedical text abstracts
title_full_unstemmed Employing ontology enrichment algorithm in classifying biomedical text abstracts
title_sort employing ontology enrichment algorithm in classifying biomedical text abstracts
publisher International Journal of Computer Science Issues
publishDate 2014
url http://eprints.utm.my/id/eprint/59718/
https://www.ijcsi.org/articles/Employing-ontology-enrichment-algorithm-in-classifying-biomedical-text-abstracts.php
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