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Information Structuring and Retrieval with Topic Maps for Medical E-LearningSTANESCU, L. , BURDESCU, D.
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information filtering, information visualization, multimedia databases, search process, thesauri
topic(6), medical(6), learning(6), maps(5), information(5), science(4), retrieval(4), mesh(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 27 - 33
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03006
Web of Science Accession Number: 000271872000006
SCOPUS ID: 77954635399
The paper presents original ways of using topic maps for information structuring and retrieval in medical e-learning domain. The topic map is mainly used for graphical visualization of the MeSH thesaurus containing medical terms. The hierarchical structure of the descriptors from MeSH thesaurus that has also multiple associative and equivalence relationships between medical terms can be properly visualized in this way. The topic map is built and populated using an original algorithm, by mapping an xml file that can be downloaded for free to an xtm file that contains the topic map. The paper also presents how to use the topic map for semantic querying of a multimedia database with medical images that are accompanied by diagnosis and treatment as important information. For retrieving the interest information for student, this access path can be combined with another modern solution: the content-based visual query on the multimedia medical database using primitive features like color and texture.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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