Integrating DBpedia in multi-modality ontology news image retrieval

M. K. Yanti Idaya Aspura, Shahrul Azman Mohd Noah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010
DOIs
Publication statusPublished - 2010
Event3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010 - Jakarta
Duration: 13 Dec 201014 Dec 2010

Other

Other3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010
CityJakarta
Period13/12/1014/12/10

Fingerprint

Image retrieval
Ontology
Personal digital assistants
Digital cameras
Patents and inventions
Semantics
Internet

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Yanti Idaya Aspura, M. K., & Mohd Noah, S. A. (2010). Integrating DBpedia in multi-modality ontology news image retrieval. In Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010 [5971914] https://doi.org/10.1109/ICT4M.2010.5971914

Integrating DBpedia in multi-modality ontology news image retrieval. / Yanti Idaya Aspura, M. K.; Mohd Noah, Shahrul Azman.

Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010. 2010. 5971914.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yanti Idaya Aspura, MK & Mohd Noah, SA 2010, Integrating DBpedia in multi-modality ontology news image retrieval. in Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010., 5971914, 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010, Jakarta, 13/12/10. https://doi.org/10.1109/ICT4M.2010.5971914
Yanti Idaya Aspura MK, Mohd Noah SA. Integrating DBpedia in multi-modality ontology news image retrieval. In Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010. 2010. 5971914 https://doi.org/10.1109/ICT4M.2010.5971914
Yanti Idaya Aspura, M. K. ; Mohd Noah, Shahrul Azman. / Integrating DBpedia in multi-modality ontology news image retrieval. Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010. 2010.
@inproceedings{267a9edd5e8845e2aed8cad055f12f3c,
title = "Integrating DBpedia in multi-modality ontology news image retrieval",
abstract = "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.",
author = "{Yanti Idaya Aspura}, {M. K.} and {Mohd Noah}, {Shahrul Azman}",
year = "2010",
doi = "10.1109/ICT4M.2010.5971914",
language = "English",
isbn = "9789791948913",
booktitle = "Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010",

}

TY - GEN

T1 - Integrating DBpedia in multi-modality ontology news image retrieval

AU - Yanti Idaya Aspura, M. K.

AU - Mohd Noah, Shahrul Azman

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=80052366603&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052366603&partnerID=8YFLogxK

U2 - 10.1109/ICT4M.2010.5971914

DO - 10.1109/ICT4M.2010.5971914

M3 - Conference contribution

SN - 9789791948913

BT - Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010

ER -