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Mapping of physiotherapy techniques terminology in scientific databases
Novák, Michal ; Kučerová, Helena (advisor) ; Jarolímková, Adéla (referee)
in English This Bachelors thesis is dedicated to the major bibliographic databases in physiotherapy and mapping concepts between them. Firstly, based on the amount of important scientific journals, the most important bibliographic databases were identified and then they were analysed. That brought basic information about individual databases and about system how there are documents organised. These knowledge organisation systems were examined further with increased emphasis on concepts related to physiotherapy, especially physiotherapy techniques. Each concept was mapped across the analysed bibliographic databases and presented in a scheme, which can help to make information retrieval in those databases more efficient or as a principle for further investigation of those concepts and their relationship in medical bibliographic databases.
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The process of indexing thesis
Obstová, Barbora ; Kovaříková, Klára (advisor) ; Trtíková, Ilona (referee)
(en) This thesis deals with a different approach to indexing from the perspective of the information professionals and the author himself. This verifies different approach based on comparative analysis of theses and dissertations from Charles University. The practical part is based on the processing of theses and dissertations in the Library of Social Science, T. G. Masaryk. With regard to the practical part of the work refers to concepts such as interpretation of the text, vocabulary, and its combinatorial elements. One section discusses the actual process of indexing with respect to content analysis.
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Integration of an Automatic Indexing System within the Document Flow of a Grey Literature Repository
Mynarz, Jindrich ; Škuta, Ctibor
The Web empowered the authors of grey literature to publish their work on their own. In case of self-published works their author is also their indexer. And because not many of the grey literature authors are professional indexers, this may result in poor or no indexing. Even though the Web made publishing easier, indexing is still hard. Nevertheless, we believe that the web technologies and machine learning algorithms may help to reduce the cognitive overhead involved in indexing, and make it eventually as easy as publishing on the Web is.
Fulltext:  MP4
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