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Mathematical Search Engine
Mišutka, Jozef ; Galamboš, Leo (advisor) ; Dvorský, Jiří (referee) ; Kohlhase, Michael (referee)
Mathematics has been used to describe phenomena and problems in many re- search fields for centuries. The basic elements used in the description are formu- lae which express information symbolically. However, searching for mathematical knowledge in digital form using available tools is still cumbersome. We address this issue by presenting the mathematical search engine EgoMath, based on a full text searching, which can search for mathematical formulae and text. We perform an eval- uation over a large collection of documents showing that our solution is usable. Our approach can be used with huge document collections by applying one specialised technique. In order to provide a valuable evaluation of the quality, we built an al- ternative mathematical search engine using the feature extraction technique proposed by Ma et al. We propose important improvements to this solution achieving interest- ing results. We perform the first ever cross-evaluation of mathematical search engines based on different algorithms. A comprehensive survey of existing techniques avail- able, presented in this thesis, completes the picture of mathematical searching.
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Mathematical Search Engine
Mišutka, Jozef ; Galamboš, Leo (advisor) ; Dvorský, Jiří (referee) ; Kohlhase, Michael (referee)
Mathematics has been used to describe phenomena and problems in many re- search fields for centuries. The basic elements used in the description are formu- lae which express information symbolically. However, searching for mathematical knowledge in digital form using available tools is still cumbersome. We address this issue by presenting the mathematical search engine EgoMath, based on a full text searching, which can search for mathematical formulae and text. We perform an eval- uation over a large collection of documents showing that our solution is usable. Our approach can be used with huge document collections by applying one specialised technique. In order to provide a valuable evaluation of the quality, we built an al- ternative mathematical search engine using the feature extraction technique proposed by Ma et al. We propose important improvements to this solution achieving interest- ing results. We perform the first ever cross-evaluation of mathematical search engines based on different algorithms. A comprehensive survey of existing techniques avail- able, presented in this thesis, completes the picture of mathematical searching.
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Problem of typesetting a scientific text using LATEX
BOJKO, Pavel
The present work is focused on typesetting of scientific text using LaTeX. The main goals is introduce LaTeX to beginners and help them to overcome primary difficulties. Hence, there is explain how to install LaTeX, how to: customize the site appearance, write own text, generate tables and how to insert images, cross-references, mathematical formulas or lists of contents, respectively. The work also includes templates for a book, diploma work, seminar work and laboratory measurements. Each template is focused on another specific LaTeX problem: (i) typesetting of vector graphics and (ii) typesetting of music notes. Templates are prepared in way of "learning by doing", where the source code can be copied and modified using commands shown in the work.
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