A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding | Zendy

Kehua Guo | Zendy; Shigeng Zhang | Zendy

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A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding

Author(s) -

Kehua Guo,

Shigeng Zhang

Publication year - 2013

Publication title -

computational and mathematical methods in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 48

eISSN - 1748-6718

pISSN - 1748-670X

DOI - 10.1155/2013/407917

Subject(s) - computer science , information retrieval , ontology , multimedia , multimedia information retrieval , human–computer information retrieval , world wide web , medical information , search engine , philosophy , epistemology

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.

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