A semi-automatic approach to construct Vietnamese ontology from online text

An ontology is an effective formal representation of knowledge used commonly in artificial intelligence, semantic web, software engineering, and information retrieval. In open and distance learning, ontologies are used as knowledge bases for e-learning supplements, educational recommenders, and ques...

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Autores principales:	Bao-An Nguyen, Don-Lin Yang
Formato:	article
Lenguaje:	EN
Publicado:	Athabasca University Press 2012
Materias:	ontology concept discovery conceptual relation text mining lexical pattern natural language processing Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/6d975242801b43d68671b60326070fbc
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id	oai:doaj.org-article:6d975242801b43d68671b60326070fbc
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spelling	oai:doaj.org-article:6d975242801b43d68671b60326070fbc2021-12-02T18:03:25ZA semi-automatic approach to construct Vietnamese ontology from online text10.19173/irrodl.v13i5.12501492-3831https://doaj.org/article/6d975242801b43d68671b60326070fbc2012-11-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/1250https://doaj.org/toc/1492-3831An ontology is an effective formal representation of knowledge used commonly in artificial intelligence, semantic web, software engineering, and information retrieval. In open and distance learning, ontologies are used as knowledge bases for e-learning supplements, educational recommenders, and question answering systems that support students with much needed resources. In such systems, ontology construction is one of the most important phases. Since there are abundant documents on the Internet, useful learning materials can be acquired openly with the use of an ontology. However, due to the lack of system support for ontology construction, it is difficult to construct self-instructional materials for Vietnamese people. In general, the cost of manual acquisition of ontologies from domain documents and expert knowledge is too high. Therefore, we present a support system for Vietnamese ontology construction using pattern-based mechanisms to discover Vietnamese concepts and conceptual relations from Vietnamese text documents. In this system, we use the combination of statistics-based, data mining, and Vietnamese natural language processing methods to develop concept and conceptual relation extraction algorithms to discover knowledge from Vietnamese text documents. From the experiments, we show that our approach provides a feasible solution to build Vietnamese ontologies used for supporting systems in education. Bao-An NguyenDon-Lin YangAthabasca University Pressarticleontologyconcept discoveryconceptual relationtext mininglexical patternnatural language processingSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 13, Iss 5 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	ontology concept discovery conceptual relation text mining lexical pattern natural language processing Special aspects of education LC8-6691
spellingShingle	ontology concept discovery conceptual relation text mining lexical pattern natural language processing Special aspects of education LC8-6691 Bao-An Nguyen Don-Lin Yang A semi-automatic approach to construct Vietnamese ontology from online text
description	An ontology is an effective formal representation of knowledge used commonly in artificial intelligence, semantic web, software engineering, and information retrieval. In open and distance learning, ontologies are used as knowledge bases for e-learning supplements, educational recommenders, and question answering systems that support students with much needed resources. In such systems, ontology construction is one of the most important phases. Since there are abundant documents on the Internet, useful learning materials can be acquired openly with the use of an ontology. However, due to the lack of system support for ontology construction, it is difficult to construct self-instructional materials for Vietnamese people. In general, the cost of manual acquisition of ontologies from domain documents and expert knowledge is too high. Therefore, we present a support system for Vietnamese ontology construction using pattern-based mechanisms to discover Vietnamese concepts and conceptual relations from Vietnamese text documents. In this system, we use the combination of statistics-based, data mining, and Vietnamese natural language processing methods to develop concept and conceptual relation extraction algorithms to discover knowledge from Vietnamese text documents. From the experiments, we show that our approach provides a feasible solution to build Vietnamese ontologies used for supporting systems in education.
format	article
author	Bao-An Nguyen Don-Lin Yang
author_facet	Bao-An Nguyen Don-Lin Yang
author_sort	Bao-An Nguyen
title	A semi-automatic approach to construct Vietnamese ontology from online text
title_short	A semi-automatic approach to construct Vietnamese ontology from online text
title_full	A semi-automatic approach to construct Vietnamese ontology from online text
title_fullStr	A semi-automatic approach to construct Vietnamese ontology from online text
title_full_unstemmed	A semi-automatic approach to construct Vietnamese ontology from online text
title_sort	semi-automatic approach to construct vietnamese ontology from online text
publisher	Athabasca University Press
publishDate	2012
url	https://doaj.org/article/6d975242801b43d68671b60326070fbc
work_keys_str_mv	AT baoannguyen asemiautomaticapproachtoconstructvietnameseontologyfromonlinetext AT donlinyang asemiautomaticapproachtoconstructvietnameseontologyfromonlinetext AT baoannguyen semiautomaticapproachtoconstructvietnameseontologyfromonlinetext AT donlinyang semiautomaticapproachtoconstructvietnameseontologyfromonlinetext
_version_	1718378758164971520

A semi-automatic approach to construct Vietnamese ontology from online text

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