Preliminary study on an ontology learning from textual data

Natural language understanding is needed to intelligently handle the large volumes of information that is explosive growth over the last decade on the WWW. Ontologies may help with analyzing and understanding text where ontology provides a capability to represent objects, concepts and other entities...

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Main Authors: Saad, Saidah, Salim, Naomi
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/3338/
http://eprints.utm.my/3338/1/NaomiSalim2006_PreliminaryStudyonanOntologyLearning.pdf
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author Saad, Saidah
Salim, Naomi
author_facet Saad, Saidah
Salim, Naomi
author_sort Saad, Saidah
building UTeM Institutional Repository
collection Online Access
description Natural language understanding is needed to intelligently handle the large volumes of information that is explosive growth over the last decade on the WWW. Ontologies may help with analyzing and understanding text where ontology provides a capability to represent objects, concepts and other entities and the relationships between them. Ontologies may be used as a tool for finding possible meanings of words in text, and meaning of text in general. Now, much of this ontology development has been directed towards extraction from textual data as human language is a primary mode of knowledge transfer. The aim of this paper is to give a general overview and preliminary study on some of the ontology learning from text that plays a prominent role on the knowledge retrieval and how the ontological semantic can be improved through the adoption of semantic web technology
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format Conference or Workshop Item
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institution Universiti Teknologi Malaysia
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language English
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publishDate 2006
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spelling utm-33382010-10-11T07:43:01Z http://eprints.utm.my/3338/ Preliminary study on an ontology learning from textual data Saad, Saidah Salim, Naomi QA75 Electronic computers. Computer science Natural language understanding is needed to intelligently handle the large volumes of information that is explosive growth over the last decade on the WWW. Ontologies may help with analyzing and understanding text where ontology provides a capability to represent objects, concepts and other entities and the relationships between them. Ontologies may be used as a tool for finding possible meanings of words in text, and meaning of text in general. Now, much of this ontology development has been directed towards extraction from textual data as human language is a primary mode of knowledge transfer. The aim of this paper is to give a general overview and preliminary study on some of the ontology learning from text that plays a prominent role on the knowledge retrieval and how the ontological semantic can be improved through the adoption of semantic web technology 2006-05 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/3338/1/NaomiSalim2006_PreliminaryStudyonanOntologyLearning.pdf Saad, Saidah and Salim, Naomi (2006) Preliminary study on an ontology learning from textual data. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 May 2006, Postgraduate Studies Department FSKSM, UTM Skudai.
spellingShingle QA75 Electronic computers. Computer science
Saad, Saidah
Salim, Naomi
Preliminary study on an ontology learning from textual data
title Preliminary study on an ontology learning from textual data
title_full Preliminary study on an ontology learning from textual data
title_fullStr Preliminary study on an ontology learning from textual data
title_full_unstemmed Preliminary study on an ontology learning from textual data
title_short Preliminary study on an ontology learning from textual data
title_sort preliminary study on an ontology learning from textual data
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/3338/
http://eprints.utm.my/3338/1/NaomiSalim2006_PreliminaryStudyonanOntologyLearning.pdf