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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...

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Detalles Bibliográficos
Autores principales: Guo, Kehua, Zhang, Shigeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3780554/
https://www.ncbi.nlm.nih.gov/pubmed/24082915
http://dx.doi.org/10.1155/2013/407917
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author Guo, Kehua
Zhang, Shigeng
author_facet Guo, Kehua
Zhang, Shigeng
author_sort Guo, Kehua
collection PubMed
description 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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spelling pubmed-37805542013-09-30 A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding Guo, Kehua Zhang, Shigeng Comput Math Methods Med Research Article 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. Hindawi Publishing Corporation 2013 2013-09-09 /pmc/articles/PMC3780554/ /pubmed/24082915 http://dx.doi.org/10.1155/2013/407917 Text en Copyright © 2013 K. Guo and S. Zhang. https://creativecommons.org/licenses/by/3.0/ 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.
spellingShingle Research Article
Guo, Kehua
Zhang, Shigeng
A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding
title A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding
title_full A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding
title_fullStr A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding
title_full_unstemmed A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding
title_short A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding
title_sort semantic medical multimedia retrieval approach using ontology information hiding
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3780554/
https://www.ncbi.nlm.nih.gov/pubmed/24082915
http://dx.doi.org/10.1155/2013/407917
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