Synonymous non-taxonomic relations extraction

Construction of ontology is a difficult task, expensive and time-consuming. Concept, taxonomy and non-taxonomic relations, are the three important components in the development of ontology. These three components are used to represent the whole domain texts. Currently, most of studies focused...

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Main Authors: N. F., Nabila, Basir, Nurlida, Mamat, Ali
Format: Article
Language:English
Published: Asian Research Publishing Network 2015
Online Access:http://psasir.upm.edu.my/id/eprint/46452/
http://psasir.upm.edu.my/id/eprint/46452/1/Synonymous%20non-taxonomic%20relations%20extraction.pdf
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author N. F., Nabila
Basir, Nurlida
Mamat, Ali
author_facet N. F., Nabila
Basir, Nurlida
Mamat, Ali
author_sort N. F., Nabila
building UPM Institutional Repository
collection Online Access
description Construction of ontology is a difficult task, expensive and time-consuming. Concept, taxonomy and non-taxonomic relations, are the three important components in the development of ontology. These three components are used to represent the whole domain texts. Currently, most of studies focused on extracting the concept, the taxonomic relationships and the non-taxonomic relationships within the scope of single sentence. In order to enrich the domain ontology, we introduced a method to extract the non-taxonomic relations by using the similarities of relations that exist in more than one sentence. The most appropriate predicate are used as a reference to relate between concepts that occur not only in the same sentence, but also in different sentences. Here, the proposed method was tested using a collection of domain texts that described electronic voting machine and are evaluated based on the standard information retrieval performance metrics, i.e. precision and recall.
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spelling upm-464522018-02-27T07:15:25Z http://psasir.upm.edu.my/id/eprint/46452/ Synonymous non-taxonomic relations extraction N. F., Nabila Basir, Nurlida Mamat, Ali Construction of ontology is a difficult task, expensive and time-consuming. Concept, taxonomy and non-taxonomic relations, are the three important components in the development of ontology. These three components are used to represent the whole domain texts. Currently, most of studies focused on extracting the concept, the taxonomic relationships and the non-taxonomic relationships within the scope of single sentence. In order to enrich the domain ontology, we introduced a method to extract the non-taxonomic relations by using the similarities of relations that exist in more than one sentence. The most appropriate predicate are used as a reference to relate between concepts that occur not only in the same sentence, but also in different sentences. Here, the proposed method was tested using a collection of domain texts that described electronic voting machine and are evaluated based on the standard information retrieval performance metrics, i.e. precision and recall. Asian Research Publishing Network 2015-02 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46452/1/Synonymous%20non-taxonomic%20relations%20extraction.pdf N. F., Nabila and Basir, Nurlida and Mamat, Ali (2015) Synonymous non-taxonomic relations extraction. ARPN Journal of Engineering and Applied Sciences, 10 (2). pp. 402-406. ISSN 1819-6608
spellingShingle N. F., Nabila
Basir, Nurlida
Mamat, Ali
Synonymous non-taxonomic relations extraction
title Synonymous non-taxonomic relations extraction
title_full Synonymous non-taxonomic relations extraction
title_fullStr Synonymous non-taxonomic relations extraction
title_full_unstemmed Synonymous non-taxonomic relations extraction
title_short Synonymous non-taxonomic relations extraction
title_sort synonymous non-taxonomic relations extraction
url http://psasir.upm.edu.my/id/eprint/46452/
http://psasir.upm.edu.my/id/eprint/46452/1/Synonymous%20non-taxonomic%20relations%20extraction.pdf