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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 407917, 7 pages
Research Article

A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding

School of Information Science & Engineering, Central South University, Changsha 410083, China

Received 19 July 2013; Revised 4 August 2013; Accepted 4 August 2013

Academic Editor: Qingshan Liu

Copyright © 2013 Kehua Guo and Shigeng Zhang. 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.


Searching useful information from unstructured medical multimedia data has been a difficult problem in information retrieval. This paper reports an effective semantic medical multimedia retrieval approach which can reflect the users’ query intent. Firstly, semantic annotations will be given to the multimedia documents in the medical multimedia database. Secondly, the ontology that represented semantic information will be hidden in the head of the multimedia documents. The main innovations of this approach are cross-type retrieval support and semantic information preservation. Experimental results indicate a good precision and efficiency of our approach for medical multimedia retrieval in comparison with some traditional approaches.