A review on learning taxonomies from Malay text corpora

Taxonomy is a science of classifying living things. In the 21st century, taxonomy is also known as a form of business intelligence, used to integrate information, reduce semantic heterogeneity, describe emergent communities and interest groups, facilitate the communication between information system...

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Main Authors: Ahmad Nazri, Mohd. Zakree, Shamsuddin, Siti Mariyam, Abu Bakar, Azuraliza
Format: Article
Language:English
Published: Penerbit UTM Press 2007
Subjects:
Online Access:http://eprints.utm.my/8173/
http://eprints.utm.my/8173/1/SitiMariyamShamsudin2007_AReviewonLearningTaxonomiesfromMalay.pdf
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author Ahmad Nazri, Mohd. Zakree
Shamsuddin, Siti Mariyam
Abu Bakar, Azuraliza
author_facet Ahmad Nazri, Mohd. Zakree
Shamsuddin, Siti Mariyam
Abu Bakar, Azuraliza
author_sort Ahmad Nazri, Mohd. Zakree
building UTeM Institutional Repository
collection Online Access
description Taxonomy is a science of classifying living things. In the 21st century, taxonomy is also known as a form of business intelligence, used to integrate information, reduce semantic heterogeneity, describe emergent communities and interest groups, facilitate the communication between information systems. However, in building a taxonomy, knowledge acquisition is the bottleneck that . Ontology engineers also need guidelines about the effectiveness, efficiency and trade-offs of different methods in order to decide which techniques to apply in which settings. But there are no comparative work systematically analyzing different techniques and algorithms on learning concept hierarchies from a Malay text. In this paper we review the state of the arts in taxonomy learning and address the lack of work in the field of concept hierarchy induction from Malay text. We also defme an evaluation methodology to systematically comparing different approaches. In our further works section, we proposed an experimental approach to study various approaches and methods to automatically acquire concept hierarchies from Malay texts.
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spelling utm-81732017-11-01T04:17:24Z http://eprints.utm.my/8173/ A review on learning taxonomies from Malay text corpora Ahmad Nazri, Mohd. Zakree Shamsuddin, Siti Mariyam Abu Bakar, Azuraliza QM Human anatomy Taxonomy is a science of classifying living things. In the 21st century, taxonomy is also known as a form of business intelligence, used to integrate information, reduce semantic heterogeneity, describe emergent communities and interest groups, facilitate the communication between information systems. However, in building a taxonomy, knowledge acquisition is the bottleneck that . Ontology engineers also need guidelines about the effectiveness, efficiency and trade-offs of different methods in order to decide which techniques to apply in which settings. But there are no comparative work systematically analyzing different techniques and algorithms on learning concept hierarchies from a Malay text. In this paper we review the state of the arts in taxonomy learning and address the lack of work in the field of concept hierarchy induction from Malay text. We also defme an evaluation methodology to systematically comparing different approaches. In our further works section, we proposed an experimental approach to study various approaches and methods to automatically acquire concept hierarchies from Malay texts. Penerbit UTM Press 2007-12 Article PeerReviewed application/pdf en http://eprints.utm.my/8173/1/SitiMariyamShamsudin2007_AReviewonLearningTaxonomiesfromMalay.pdf Ahmad Nazri, Mohd. Zakree and Shamsuddin, Siti Mariyam and Abu Bakar, Azuraliza (2007) A review on learning taxonomies from Malay text corpora. Jurnal Teknologi Maklumat, 19 (2). pp. 85-99. ISSN 0128-3790
spellingShingle QM Human anatomy
Ahmad Nazri, Mohd. Zakree
Shamsuddin, Siti Mariyam
Abu Bakar, Azuraliza
A review on learning taxonomies from Malay text corpora
title A review on learning taxonomies from Malay text corpora
title_full A review on learning taxonomies from Malay text corpora
title_fullStr A review on learning taxonomies from Malay text corpora
title_full_unstemmed A review on learning taxonomies from Malay text corpora
title_short A review on learning taxonomies from Malay text corpora
title_sort review on learning taxonomies from malay text corpora
topic QM Human anatomy
url http://eprints.utm.my/8173/
http://eprints.utm.my/8173/1/SitiMariyamShamsudin2007_AReviewonLearningTaxonomiesfromMalay.pdf