Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim

Semantic Based Image Retrieval (SBIR) is an image retrieval approach mainly aims to improve the relevancy of the images retrieved. The researches in image retrieval were conducted in various domains and each domain requires specific queries. Knowledge Representation (KR) is a method under SBIR which...

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Main Author:	Ibrahim, Nur Syafikah
Format:	Thesis
Language:	English
Published:	2016
Online Access:	https://ir.uitm.edu.my/id/eprint/17795/2/TM_NUR%20SYAFIKAH%20IBRAHIM%20CS%2016_5.pdf
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id	my-uitm-ir.17795
record_format	uketd_dc
spelling	my-uitm-ir.177952022-03-08T06:55:18Z Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim 2016 Ibrahim, Nur Syafikah Semantic Based Image Retrieval (SBIR) is an image retrieval approach mainly aims to improve the relevancy of the images retrieved. The researches in image retrieval were conducted in various domains and each domain requires specific queries. Knowledge Representation (KR) is a method under SBIR which represent the knowledge of a specific domain by using formal mathematical symbols. The existing hundreds of durian varieties which are currently registered in the Department of Agriculture Malaysia (DOA) make it a challenging task to differentiate the images of this crop. Hence, this research was intended to achieve three objectives. The first objective is to construct the Conceptual Graph (CG), which is one of the KR formalism to semantically represent the knowledge of durian varieties characteristics. The second objective is to employ the constructed CG in Knowledge Based Image Retrieval System (KBIRS). Meanwhile, the third objective is to evaluate the performance of the KBIRS. In this work, characteristics of 32 registered durian varieties were studied. There are three main characteristics that enable us to differentiate one variety from another variety which are fruit, aril (flesh) and spine (thorn) characteristics. These characteristics are called as concept types in CG. The KBIRS was tested by using 26 predefined queries and the retrieved results were evaluated by using the precision calculation. This precision result was then compared with the result in Exalead and Google Images search engine by using the same 26 predefined queries. 2016 Thesis https://ir.uitm.edu.my/id/eprint/17795/ https://ir.uitm.edu.my/id/eprint/17795/2/TM_NUR%20SYAFIKAH%20IBRAHIM%20CS%2016_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	Semantic Based Image Retrieval (SBIR) is an image retrieval approach mainly aims to improve the relevancy of the images retrieved. The researches in image retrieval were conducted in various domains and each domain requires specific queries. Knowledge Representation (KR) is a method under SBIR which represent the knowledge of a specific domain by using formal mathematical symbols. The existing hundreds of durian varieties which are currently registered in the Department of Agriculture Malaysia (DOA) make it a challenging task to differentiate the images of this crop. Hence, this research was intended to achieve three objectives. The first objective is to construct the Conceptual Graph (CG), which is one of the KR formalism to semantically represent the knowledge of durian varieties characteristics. The second objective is to employ the constructed CG in Knowledge Based Image Retrieval System (KBIRS). Meanwhile, the third objective is to evaluate the performance of the KBIRS. In this work, characteristics of 32 registered durian varieties were studied. There are three main characteristics that enable us to differentiate one variety from another variety which are fruit, aril (flesh) and spine (thorn) characteristics. These characteristics are called as concept types in CG. The KBIRS was tested by using 26 predefined queries and the retrieved results were evaluated by using the precision calculation. This precision result was then compared with the result in Exalead and Google Images search engine by using the same 26 predefined queries.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ibrahim, Nur Syafikah
spellingShingle	Ibrahim, Nur Syafikah Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim
author_facet	Ibrahim, Nur Syafikah
author_sort	Ibrahim, Nur Syafikah
title	Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim
title_short	Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim
title_full	Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim
title_fullStr	Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim
title_full_unstemmed	Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim
title_sort	knowledge representation for durian varieties images using conceptual graph / nur syafikah ibrahim
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/17795/2/TM_NUR%20SYAFIKAH%20IBRAHIM%20CS%2016_5.pdf
_version_	1783733600715276288

Knowledge representation for durian varieties images using conceptual graph / Nur Syafikah Ibrahim

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