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Modelling and Simulation in Engineering
Volume 2015, Article ID 651428, 10 pages
Research Article

An Intelligent Web Digital Image Metadata Service Platform for Social Curation Commerce Environment

1Department of Knowledge Service Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
2Department of International Commerce, Woosong University, Daejeon, Republic of Korea

Received 29 August 2014; Accepted 10 November 2014

Academic Editor: James J. Park

Copyright © 2015 Seong-Yong Hong and Sung-Joon Lee. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Information management includes multimedia data management, knowledge management, collaboration, and agents, all of which are supporting technologies for XML. XML technologies have an impact on multimedia databases as well as collaborative technologies and knowledge management. That is, e-commerce documents are encoded in XML and are gaining much popularity for business-to-business or business-to-consumer transactions. Recently, the internet sites, such as e-commerce sites and shopping mall sites, deal with a lot of image and multimedia information. This paper proposes an intelligent web digital image information retrieval platform, which adopts XML technology for social curation commerce environment. To support object-based content retrieval on product catalog images containing multiple objects, we describe multilevel metadata structures representing the local features, global features, and semantics of image data. To enable semantic-based and content-based retrieval on such image data, we design an XML-Schema for the proposed metadata. We also describe how to automatically transform the retrieval results into the forms suitable for the various user environments, such as web browser or mobile device, using XSLT. The proposed scheme can be utilized to enable efficient e-catalog metadata sharing between systems, and it will contribute to the improvement of the retrieval correctness and the user’s satisfaction on semantic-based web digital image information retrieval.