A framework for integrating DBpedia into a multi-modality ontology image retrieval

DBpedia, used as a web link knowledge garden, provides great opportunities for researchers as a domain concept to enrich resource and information extraction. The integration of DBpedia with ontology-based approach in image retrieval gives complete and rich semantics information to the image. The sem...

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Main Authors:	M. Khalid, Yanti Idaya Aspura, Mohd Noah, Shahrul Azman, Sheikh Abdullah, Siti Norul Huda
Format:	Article
Language:	English
Published:	IJoAT Foundation 2013
Subjects:	T10.5 Communication of technical information Z665 Library Science. Information Science
Online Access:	http://irep.iium.edu.my/33073/ http://irep.iium.edu.my/33073/ http://irep.iium.edu.my/33073/3/IJACT3188PPL%5B1%5D.pdf

id	iium-33073
recordtype	eprints
spelling	iium-330732013-12-16T06:21:43Z http://irep.iium.edu.my/33073/ A framework for integrating DBpedia into a multi-modality ontology image retrieval M. Khalid, Yanti Idaya Aspura Mohd Noah, Shahrul Azman Sheikh Abdullah, Siti Norul Huda T10.5 Communication of technical information Z665 Library Science. Information Science DBpedia, used as a web link knowledge garden, provides great opportunities for researchers as a domain concept to enrich resource and information extraction. The integration of DBpedia with ontology-based approach in image retrieval gives complete and rich semantics information to the image. The semantic gap is the main problem in image retrieval. The gap is between the high level image interpretations of the users and the low level image features stored for indexing querying. Ontology-based image retrieval is an effective approach to bridge the semantic gap because it is more focused on capturing and presenting the semantic content which has the potential to satisfy the user need. A recent trend in ontology-based image retrieval is to fuse the two basic modalities of images namely textual content (keywords) and visual features and known as multi-modality ontology. In this paper, we present the framework for integrating structured content in DBpedia resources with multi- modality ontology-based image extraction and retrieval system and describe how this framework bridges the semantic gap in content-based image retrieval (CBIR). Our goal is to populate a knowledge base with online image news resources from 12 sport types in the BBC sport news, which has three main items: image, image caption and news information. This system will yield high precision and include diverse sports images for specific entities. A multi-modality ontology retrieval system, with complete relational facts about entities will improves the precision of retrieval. IJoAT Foundation 2013-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33073/3/IJACT3188PPL%5B1%5D.pdf M. Khalid, Yanti Idaya Aspura and Mohd Noah, Shahrul Azman and Sheikh Abdullah, Siti Norul Huda (2013) A framework for integrating DBpedia into a multi-modality ontology image retrieval. International Journal of Advancements in Computing Technology, 5 (12). pp. 65-78. ISSN 2005-8039 http://ijict.org/index.php/ijoat
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T10.5 Communication of technical information Z665 Library Science. Information Science
spellingShingle	T10.5 Communication of technical information Z665 Library Science. Information Science M. Khalid, Yanti Idaya Aspura Mohd Noah, Shahrul Azman Sheikh Abdullah, Siti Norul Huda A framework for integrating DBpedia into a multi-modality ontology image retrieval
description	DBpedia, used as a web link knowledge garden, provides great opportunities for researchers as a domain concept to enrich resource and information extraction. The integration of DBpedia with ontology-based approach in image retrieval gives complete and rich semantics information to the image. The semantic gap is the main problem in image retrieval. The gap is between the high level image interpretations of the users and the low level image features stored for indexing querying. Ontology-based image retrieval is an effective approach to bridge the semantic gap because it is more focused on capturing and presenting the semantic content which has the potential to satisfy the user need. A recent trend in ontology-based image retrieval is to fuse the two basic modalities of images namely textual content (keywords) and visual features and known as multi-modality ontology. In this paper, we present the framework for integrating structured content in DBpedia resources with multi- modality ontology-based image extraction and retrieval system and describe how this framework bridges the semantic gap in content-based image retrieval (CBIR). Our goal is to populate a knowledge base with online image news resources from 12 sport types in the BBC sport news, which has three main items: image, image caption and news information. This system will yield high precision and include diverse sports images for specific entities. A multi-modality ontology retrieval system, with complete relational facts about entities will improves the precision of retrieval.
format	Article
author	M. Khalid, Yanti Idaya Aspura Mohd Noah, Shahrul Azman Sheikh Abdullah, Siti Norul Huda
author_facet	M. Khalid, Yanti Idaya Aspura Mohd Noah, Shahrul Azman Sheikh Abdullah, Siti Norul Huda
author_sort	M. Khalid, Yanti Idaya Aspura
title	A framework for integrating DBpedia into a multi-modality ontology image retrieval
title_short	A framework for integrating DBpedia into a multi-modality ontology image retrieval
title_full	A framework for integrating DBpedia into a multi-modality ontology image retrieval
title_fullStr	A framework for integrating DBpedia into a multi-modality ontology image retrieval
title_full_unstemmed	A framework for integrating DBpedia into a multi-modality ontology image retrieval
title_sort	framework for integrating dbpedia into a multi-modality ontology image retrieval
publisher	IJoAT Foundation
publishDate	2013
url	http://irep.iium.edu.my/33073/ http://irep.iium.edu.my/33073/ http://irep.iium.edu.my/33073/3/IJACT3188PPL%5B1%5D.pdf
first_indexed	2023-09-18T20:47:45Z
last_indexed	2023-09-18T20:47:45Z
_version_	1777409789190471680

A framework for integrating DBpedia into a multi-modality ontology image retrieval

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