DocumentCode :
2891974
Title :
Ontology Based Metadata Interoperable Aggregator for the Large Scaled Image Retrieval Supporting Multiple Schemas
Author :
Shin, Saim ; Lim, Tae-Beom ; Lee, Seok-pil
Author_Institution :
Digital Media Res. Center, Korea Electron. Technol. Inst., Seoul, South Korea
fYear :
2009
fDate :
24-26 Nov. 2009
Firstpage :
168
Lastpage :
171
Abstract :
In this paper, we review the system framework for the interoperability with JPSearch image search and retrieval technonlogies. More specifically, we specifies the core skeleton of the lexical resource ontology which contains the semantic relations between metadata schemas, and also a mechanism to add / update /delete the information in the ontology for helping transformation between schemas and queries.
Keywords :
image retrieval; meta data; ontologies (artificial intelligence); search engines; JPSearch image search; core skeleton; large scaled image retrieval; lexical resource ontology; ontology based metadata interoperable aggregator; semantic relations; Content management; Data models; Image retrieval; Information management; Information retrieval; Information technology; MPEG 7 Standard; Ontologies; Skeleton; XML; image retrieval; metadata interoperability; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5244-6
Electronic_ISBN :
978-0-7695-3896-9
Type :
conf
DOI :
10.1109/ICCIT.2009.41
Filename :
5367969
Link To Document :
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