Towards a multimodality ontology image retrieval

Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and re...

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Main Authors:	M. Khalid, Yanti Idaya Aspura, Noah, Shahrul Azman, Sheikh Abdullah, Siti Norulhuda
Format:	Article
Language:	English
Published:	Springer Berlin Heidelberg 2011
Subjects:	T Technology (General) Z665 Library Science. Information Science
Online Access:	http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf

id	iium-30412
recordtype	eprints
spelling	iium-304122015-09-02T06:07:14Z http://irep.iium.edu.my/30412/ Towards a multimodality ontology image retrieval M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman Sheikh Abdullah, Siti Norulhuda T Technology (General) Z665 Library Science. Information Science Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and retrieving of images are currently being employed. Complex querying and enhanced semantic search still remain the issues to be solved in image retrieval systems. We proposed an ontology driven framework for supporting image retrieval with particular emphasis on the sport news domain. Furthermore, we look into the possibility how multimodality ontology can be integrated in the framework and shows how open knowledge-bases such as the DBpedia play an important role in this area. Springer Berlin Heidelberg 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf M. Khalid, Yanti Idaya Aspura and Noah, Shahrul Azman and Sheikh Abdullah, Siti Norulhuda (2011) Towards a multimodality ontology image retrieval. Visual Informatics: Sustaining Research and Innovations, 7067. pp. 382-393. ISSN 0302-9743 (P), 1611-3349 (O) http://link.springer.com/chapter/10.1007/978-3-642-25200-6_36 DOI: 10.1007/978-3-642-25200-6_36
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General) Z665 Library Science. Information Science
spellingShingle	T Technology (General) Z665 Library Science. Information Science M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman Sheikh Abdullah, Siti Norulhuda Towards a multimodality ontology image retrieval
description	Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and retrieving of images are currently being employed. Complex querying and enhanced semantic search still remain the issues to be solved in image retrieval systems. We proposed an ontology driven framework for supporting image retrieval with particular emphasis on the sport news domain. Furthermore, we look into the possibility how multimodality ontology can be integrated in the framework and shows how open knowledge-bases such as the DBpedia play an important role in this area.
format	Article
author	M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman Sheikh Abdullah, Siti Norulhuda
author_facet	M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman Sheikh Abdullah, Siti Norulhuda
author_sort	M. Khalid, Yanti Idaya Aspura
title	Towards a multimodality ontology image retrieval
title_short	Towards a multimodality ontology image retrieval
title_full	Towards a multimodality ontology image retrieval
title_fullStr	Towards a multimodality ontology image retrieval
title_full_unstemmed	Towards a multimodality ontology image retrieval
title_sort	towards a multimodality ontology image retrieval
publisher	Springer Berlin Heidelberg
publishDate	2011
url	http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf
first_indexed	2023-09-18T20:44:34Z
last_indexed	2023-09-18T20:44:34Z
_version_	1777409588329447424

Towards a multimodality ontology image retrieval

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