Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval

The demand of herbal medicinal plant as alternative treatment from nature becomes higher every year. Thus, a comprehensive knowledge repository is needed for user to access the right herbal medicinal plant information for their optimum health benefit. Unfortunately, current development of herbal med...

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Main Authors: Sulaiman, Mohd Suffian, Nordin, Sharifalillah, Jamil, Nursuriati, Abdul Halin, Alfian
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://psasir.upm.edu.my/id/eprint/64308/1/PID69.pdf
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author Sulaiman, Mohd Suffian
Nordin, Sharifalillah
Jamil, Nursuriati
Abdul Halin, Alfian
author_facet Sulaiman, Mohd Suffian
Nordin, Sharifalillah
Jamil, Nursuriati
Abdul Halin, Alfian
author_sort Sulaiman, Mohd Suffian
collection UPM
description The demand of herbal medicinal plant as alternative treatment from nature becomes higher every year. Thus, a comprehensive knowledge repository is needed for user to access the right herbal medicinal plant information for their optimum health benefit. Unfortunately, current development of herbal medicinal plant repository only emphasize on the textual information. Therefore, it led to difficulty of user to obtain adequate knowledge especially the image of herbal medicinal plant. This paper presents a multi-modal ontology model that integrates textual and visual information of herbal medicinal plants. This model was designed base on the human perception of images where retrieval is performed at semantic level.
first_indexed 2024-03-06T09:46:24Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
language English
last_indexed 2024-03-06T09:46:24Z
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spelling upm.eprints-643082018-07-04T02:33:42Z http://psasir.upm.edu.my/id/eprint/64308/ Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval Sulaiman, Mohd Suffian Nordin, Sharifalillah Jamil, Nursuriati Abdul Halin, Alfian The demand of herbal medicinal plant as alternative treatment from nature becomes higher every year. Thus, a comprehensive knowledge repository is needed for user to access the right herbal medicinal plant information for their optimum health benefit. Unfortunately, current development of herbal medicinal plant repository only emphasize on the textual information. Therefore, it led to difficulty of user to obtain adequate knowledge especially the image of herbal medicinal plant. This paper presents a multi-modal ontology model that integrates textual and visual information of herbal medicinal plants. This model was designed base on the human perception of images where retrieval is performed at semantic level. 2014 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64308/1/PID69.pdf Sulaiman, Mohd Suffian and Nordin, Sharifalillah and Jamil, Nursuriati and Abdul Halin, Alfian (2014) Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval. In: Knowledge Management International Conference 2014 (KMICe 2014), 12-15 Aug. 2014, Langkawi, Kedah. (pp. 208-213).
spellingShingle Sulaiman, Mohd Suffian
Nordin, Sharifalillah
Jamil, Nursuriati
Abdul Halin, Alfian
Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval
title Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval
title_full Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval
title_fullStr Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval
title_full_unstemmed Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval
title_short Multi-modality ontologyfor herbal medicinal plant semantic based image retrieval
title_sort multi modality ontologyfor herbal medicinal plant semantic based image retrieval
url http://psasir.upm.edu.my/id/eprint/64308/1/PID69.pdf
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AT nordinsharifalillah multimodalityontologyforherbalmedicinalplantsemanticbasedimageretrieval
AT jamilnursuriati multimodalityontologyforherbalmedicinalplantsemanticbasedimageretrieval
AT abdulhalinalfian multimodalityontologyforherbalmedicinalplantsemanticbasedimageretrieval