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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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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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 |
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QA75 Electronic computers. Computer science Dollah @ Md. Zain, Rozilawati Aono, Masaki Employing ontology enrichment algorithm in classifying biomedical text abstracts |
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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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1724073244926935040 |
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13.211869 |