Patterns in URL
Patterns in URL
Typ dokumentu
disertační práceAutor
Hujer Roman
Vedoucí práce
Vaníček Tomáš
Oponent práce
Molnár Zdeněk
Studijní obor
Systémové inženýrství ve stavebnictví a investiční výstavběStudijní program
Stavební inženýrstvíInstituce přidělující hodnost
Fakulta stavebníObhájeno
2014-05-22 00:00:00.0Práva
A university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one’s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://www.cvut.cz/sites/default/files/content/d1dc93cd-5894-4521-b799-c7e715d3c59e/cs/20160901-metodicky-pokyn-c-12009-o-dodrzovani-etickych-principu-pri-priprave-vysokoskolskych.pdfVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://www.cvut.cz/sites/default/files/content/d1dc93cd-5894-4521-b799-c7e715d3c59e/cs/20160901-metodicky-pokyn-c-12009-o-dodrzovani-etickych-principu-pri-priprave-vysokoskolskych.pdf
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This text describes the research on patterns in URL, URL classification and their respective relation. Firstly, motives for the URL classification and patterns in URL are explained. The motives come from topicality of the search engines and the webometrics. The webometrics and the search engines later turn out to be an application of the work results. It is be explained which questions the research should answer, what is the hypothesis and for whom could be the research beneficial.Related technologies such as deep web, semantic web, microformats and search engine optimization are mentioned in a chapter about the current state of scientific knowledge and it is explained how these topics influence the research. More space is dedicated to webometrics as it is a science closely related to the work's topic.The core of the work describes traversing as an alternative of following hyperlinks. Then introduces classification as a generalization of the patterns concept, followed by two experiments. The first experiment confirms the numeric pattern. The second experiment demonstrates way of finding another patterns. The chapter is concluded by a formal description of the concept of pattern in URL.In the end is concluded the scientific contribution of the work and outline possible future work. This text describes the research on patterns in URL, URL classification and their respective relation. Firstly, motives for the URL classification and patterns in URL are explained. The motives come from topicality of the search engines and the webometrics. The webometrics and the search engines later turn out to be an application of the work results. It is be explained which questions the research should answer, what is the hypothesis and for whom could be the research beneficial.Related technologies such as deep web, semantic web, microformats and search engine optimization are mentioned in a chapter about the current state of scientific knowledge and it is explained how these topics influence the research. More space is dedicated to webometrics as it is a science closely related to the work's topic.The core of the work describes traversing as an alternative of following hyperlinks. Then introduces classification as a generalization of the patterns concept, followed by two experiments. The first experiment confirms the numeric pattern. The second experiment demonstrates way of finding another patterns. The chapter is concluded by a formal description of the concept of pattern in URL.In the end is concluded the scientific contribution of the work and outline possible future work.
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- Disertační práce - 11000 [452]
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