A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding

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.

• Publication year

  2013

• Venue

  Comput. Math. Methods Medicine

• Publication date

  2013-09-05

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1155/2013/407917PMID 24082915PMCID 3780554
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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