Abstract
The paper presents a software tool based on topic maps dedicated to medical e-learning. The application allows the graphical visualization of the MeSH thesaurus (medical terms from Diseases and Drugs categories) with a topic map. With this graphical modality, the learner can view medical term description and its associative relationships with other medical descriptors. The paper presents also how to use the topic map for semantic querying of a multimedia database with medical images that are accompanied by diagnosis and treatment as crucial information. For retrieving the interest information this access path can be combined with another modern solution: the content-based visual query on the multimedia medical database using color and texture features automatically extracted. The paper presents the original algorithm for building and populating the topic map starting from MeSH thesaurus, mapping an xml file that can be downloaded free, to an xtm file that contains the topic map.
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Stanescu, L., Burdescu, D., Mihai, G., Brezovan, M., Spahiu, C.S. (2009). Multimedia Elements for Medical e-Learning Improvement. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Studies in Computational Intelligence, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02937-0_39
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DOI: https://doi.org/10.1007/978-3-642-02937-0_39
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