Integrating DBpedia in multi-modality ontology news image retrieval
The invention and usage of multimedia technology via digital camera, cellular phone, PDA and so on had increased the numbers of image retrieval in the Internet. Due to that, the research on the effectiveness of image retrieval system also has been growth not only to measure precision and recall, bu...
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iium-334842013-12-17T01:14:14Z http://irep.iium.edu.my/33484/ Integrating DBpedia in multi-modality ontology news image retrieval M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman T Technology (General) Z665 Library Science. Information Science The invention and usage of multimedia technology via digital camera, cellular phone, PDA and so on had increased the numbers of image retrieval in the Internet. Due to that, the research on the effectiveness of image retrieval system also has been growth not only to measure precision and recall, but also the user satisfaction. With realizing the demand in image retrieval, we tried to develop a prototype image retrieval system which integrates the low level features and high level concept in semantic gap. And our goal is to use a multi-modality ontology based system integrated with the knowledge sharing communities like DBpedia as our domain source which has an automated extraction methods to enhance our model and subsequently measure the effectiveness of our precision and recall. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/33484/1/05971914.pdf M. Khalid, Yanti Idaya Aspura and Noah, Shahrul Azman (2010) Integrating DBpedia in multi-modality ontology news image retrieval. In: 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010; , 13-14 Dec 2010, Jakarta. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5971914 |
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Digital Repository |
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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 Integrating DBpedia in multi-modality ontology news image retrieval |
description |
The invention and usage of multimedia technology via
digital camera, cellular phone, PDA and so on had increased the numbers of image retrieval in the Internet. Due to that, the research on the effectiveness of image retrieval system also has been growth not only to measure precision and recall, but also the user satisfaction. With realizing the demand in image retrieval, we tried to develop a prototype image retrieval system which integrates the low level features and high level concept in semantic gap. And our goal is to use a multi-modality ontology based system integrated with the knowledge sharing communities like DBpedia as our domain source which has an automated extraction methods to enhance our model and subsequently measure the effectiveness of our precision and recall. |
format |
Conference or Workshop Item |
author |
M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman |
author_facet |
M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman |
author_sort |
M. Khalid, Yanti Idaya Aspura |
title |
Integrating DBpedia in multi-modality ontology news image retrieval |
title_short |
Integrating DBpedia in multi-modality ontology news image retrieval |
title_full |
Integrating DBpedia in multi-modality ontology news image retrieval |
title_fullStr |
Integrating DBpedia in multi-modality ontology news image retrieval |
title_full_unstemmed |
Integrating DBpedia in multi-modality ontology news image retrieval |
title_sort |
integrating dbpedia in multi-modality ontology news image retrieval |
publishDate |
2010 |
url |
http://irep.iium.edu.my/33484/ http://irep.iium.edu.my/33484/ http://irep.iium.edu.my/33484/1/05971914.pdf |
first_indexed |
2023-09-18T20:48:24Z |
last_indexed |
2023-09-18T20:48:24Z |
_version_ |
1777409830307233792 |