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Named Entity Disambiguation in Slovak
Križan, Samuel ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
Thesis deals with the topic of named entity recognition and disambiguation. A basic system was created which includes all prequisitions necessary for named entity disambiguation in Slovak language. Part of the system is building of a knowledge base out of an export from Slovak Wikipedia. This was subsequently compared to knowledge base obtained from Wikidata, which revealed that the main contribution of Wikipedia knowledge base for Slovak language is greater coverage of entities with link to Slovak Wikipedia and better determination of entity classes. Apart from that, morfological dictionary of KNOT@FIT research group was updated, which yielded an improvement by 33-39 %. This work presumes possible utilization in relation to system extention by a disambiguation modul and enhancement of alternative names coverage.
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Acquiring Thesauri from Wikipedia
Novák, Ján ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
This thesis deals with automatic acquiring thesauri from Wikipedia. It describes Wikipedia as a suitable data set for thesauri acquiring and also methods for computing semantic similarity of terms are described. The thesis also contains a description of concepts and implementation of the system for automatic thesauri acquiring. Finally, the implemented system is evaluated by the standard metrics, such as precision or recall.
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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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Information Extraction from Wikipedia
Krištof, Tomáš ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This bachelor's thesis describes the issue of information extraction from unstructured text. The first part contains summary of basic techniques used for information extracting. Thereafter, concept and realization of the system for information extraction from Wikipedia is described. In the last part of thesis, results, coming from experiments, are analysed.
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Interfaces for Faceted Search in Indexed Wikipedia
Cilip, Peter ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
Main aim of this thesis is to study existing systems of faceted search and to design own system based on faceted search in the index of Wikipedia. In this thesis we can meet with existing solutions of faceted search. From mistakes and failures of existing solutions was designed our own system, that is output of this thesis. Designed system is described in way of design and implementation. Product of thesis is application and graphical interface. Application interface can be integrated into existing informational system, where it can be used as multidimensional filter. Graphical interface provides option how can application interface be used in real system. System was created focusing on usefullness and simplicity, for using in existing information systems.
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Temporary Zone
Maňas, Kristian ; Zálešák, Jan (referee) ; Kögler, Žaneta (advisor)
Temporary zone is open-source design studio. This diploma thesis is concerned with origin of the project and its theoretic background. Theoretic part of the thesis defines the term „open-source design“ and tries to explain motivations behind creation of Temporary zone.
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Identifying Entity Types and Attributes Across Languages
Švub, Daniel ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The target of this thesis is to analyze articles on the Wikipedia internet encyclopedia and to convert their text written in natural language into a structured database of persons, places and other entities. The essence of the implemented program is the determination of the type of entity based on its typical characteristics, and the extraction of the most important attributes of this entity in the Czech and Slovak languages. The result of this task is a knowledge base allowing simple searching and sorting of information. Thanks to its easy extensibility, it is possible to add identification of other types of entities and other features to the program, as well as a support of other languages.
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Methods of Information Extraction
Adamček, Adam ; Smrž, Pavel (referee) ; Kouřil, Jan (advisor)
The goal of information extraction is to retrieve relational data from texts written in natural human language. Applications of such obtained information is wide - from text summarization, through ontology creation up to answering questions by QA systems. This work describes design and implementation of a system working in computer cluster which transforms a dump of Wikipedia articles to a set of extracted information that is stored in distributed RDF database with a possibility to query it using created user interface.
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New Technologies in Education
Jorda, Jakub ; Kopecká, Jana (referee) ; Smutný, Milan (advisor)
Cílem této práce je prozkoumat, shrnout a uspořádat nejvýznamnějším vzdělávací technologie. Porovnat a rozdělit tyto technologie do konkrétních skupin, jako například výukový software, internetové stránky s výukovými nástroji, elektronické encyklopedie, mobilní zařízení a zařízení, jež mají pomáhat s výukou a také ji ulehčovat. Pokusit se tyto technologie uspořádat a vytvořit tak systém, který by pomohl ostatním studentům rozhodnout co je pro ně nejlepší a co by naopak byla ztráta času. Dále je také cílem vyzvednout nejužitečnější technologie a pomoci pochopit jejich účel a význam, a hlavně poukázat na jejich největší přednosti a slabosti.
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Information Retrieval in Czech Wikipedia
Balgar, Marek ; Bartík, Vladimír (referee) ; Chmelař, Petr (advisor)
The main task of this Masters Thesis is to understand questions of information retrieval and text classifi cation. The main research is focused on the text data, the semantic dictionaries and especially the knowledges inferred from the Wikipedia. In this thesis is also described implementation of the querying system, which is based on achieved knowledges. Finally properties and possible improvements of the system are talked over.
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