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Wikipedia Page Classification
Suchý, Ondřej ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The goal of this paper is to design and implement a system for selection of Wikipedia articles relevant to a given topic in order to reduce the amount of memory taken by its offline version. The solution of this problem was achieved with use of methods from information retrieval and theirs implementation using Elasticsearch search engine. The system tries to determine the area of user's interest by given keywords and make a selection of articles from that area. This is achieved by measuring of similarity of articles and adding all articles from frequent categories in the selection. The sizes of the output files for queries over Simple English Wikipedia are usually below 30 MB.
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Challenges in Providing Unpublished Research Data in Biomedical Engineering to Grey Literature Repositories
Francová, Pavla ; Krueger, Stephanie
Regardless of the scientific field or focus, every researcher produces during his or her career a multitude of unpublished research data such as laboratory diaries, grant proposals, images etc. Although making such data more accessible undoubtedly has value for researchers, they are currently not shared in open repositories. Why are researchers still reluctant to actively use grey literature repositories for unpublished contextual materials and data? Authors will discuss how scientists might be encouraged to add such material to grey literature repositories and specific examples of unpublished research data will be shown in connection to model scientifi c project.
Fulltext: idr-940_3 -  PDF
Slides: idr-940_1 - PDF; idr-940_2 - PDF
Video: idr-940_4 -  MP4
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Forecasting Mortgages: Internet Search Data as a Proxy for Mortgage Credit Demand
Saxa, Branislav
This paper examines the usefulness of Google Trends data for forecasting mortgage lending in the Czech Republic. While the official monthly statistics on mortgage lending come with a publication lag of one month, the data on how often people search for mortgage-related terms on the internet are available without any lag on a weekly basis. Growth in searches for mortgages and growth in mortgages actually provided are strongly correlated. The lag between these two growth rates is two months. Evaluation of out-of-sample forecasts shows that internet search data improve mortgage lending predictions significantly. In addition to forecasting performance evaluation, an experimental indicator of restrictively tight mortgage credit standards and conditions is proposed. Nowadays many countries run bank lending surveys to monitor the tightness of bank lending standards and conditions. The proposed indicator represents a complementary tool to such a survey.
Fulltext: PDF
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Methods of information searching on the internet of the first and the second generation
Synek, Pavel ; Pavlíček, Antonín (advisor)
The thesis aims on methods and strategies usable for information retrieval on the internet as we know it today and points at how the requirements on knowledge of end-user and abilities to use different information sources have been changing; in other words it points the increasing demands on information literacy. The document is divided into three parts. The first one briefly provides an introduction to strategies of information retrieval. The second part deals on theoretic basis with tools and information sources for searching on the both surface and deep web. The author also focuses on social web and its special attributes from the searcher's point of view. The third part represents a practical utilization of knowledge from previous parts. Practical part demonstrates on model examples a nature and kind of information we can retrieve from particular resources.
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