National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Really Off-Line RSS Reading
Dresto, Erik ; Schwarz, Petr (referee) ; Smrž, Pavel (advisor)
This work deals with the problem of reading RSS articles without active internet connection. The goal of this work was to obtain information about ways of reading RSS articles, to get knowledge about RSS format, get to know its structure and history. Also to find existing solutions of RSS readers, review their advantages and disadvantages from point of expandability, actualization, and possibility to back port on mobile devices. This work also contains brief description of technologies, which are used in work with RSS channels. The reasons of using RSS for reading online articles are given in this work, thereafter the scheme of the application for reading RSS articles without active internet connection, and finally description of its implementation is worked out in it. The result of this work is an application called OfflineRSS Reader created in Java programming language.
Semantic Relatedness of Scientific Articles
Dresto, Erik ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
The main goal of the thesis is to explore basic methods which can be used to find semantically related scientific articles. All the methods are explained in detail, compared and in the end evaluated by the standard metrics. Based on the evaluation, a new method for computing semantic similarity of scientific articles is proposed. The proposed method is based on the current state-of-the-art methods and adds the another important factor for computing similarity - citations. Using citations is important, since they represent a static bond between the articles. Finally, the proposed method is evaluated on the real data and compared with other described methods.
Really Off-Line RSS Reading
Dresto, Erik ; Schwarz, Petr (referee) ; Smrž, Pavel (advisor)
This work deals with the problem of reading RSS articles without active internet connection. The goal of this work was to obtain information about ways of reading RSS articles, to get knowledge about RSS format, get to know its structure and history. Also to find existing solutions of RSS readers, review their advantages and disadvantages from point of expandability, actualization, and possibility to back port on mobile devices. This work also contains brief description of technologies, which are used in work with RSS channels. The reasons of using RSS for reading online articles are given in this work, thereafter the scheme of the application for reading RSS articles without active internet connection, and finally description of its implementation is worked out in it. The result of this work is an application called OfflineRSS Reader created in Java programming language.
Semantic Relatedness of Scientific Articles
Dresto, Erik ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
The main goal of the thesis is to explore basic methods which can be used to find semantically related scientific articles. All the methods are explained in detail, compared and in the end evaluated by the standard metrics. Based on the evaluation, a new method for computing semantic similarity of scientific articles is proposed. The proposed method is based on the current state-of-the-art methods and adds the another important factor for computing similarity - citations. Using citations is important, since they represent a static bond between the articles. Finally, the proposed method is evaluated on the real data and compared with other described methods.

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