National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Extraction of unspecified relations from the web
Ovečka, Marek ; Svátek, Vojtěch (advisor) ; Labský, Martin (referee)
The subject of this thesis is non-specific knowledge extraction from the web. In recent years, tools that improve the results of this type of knowledge extraction were created. The aim of this thesis is to become familiar with these tools, test and propose the use of results. In this thesis these tools are described and compared and extraction is carried out using OLLIE. Based on the results of the extractions, two methods of enriching extractions using name entity recognition, are proposed. The first method proposes to modify the weights of extractions and second proposes the enrichment of extractions by named entities. The paper proposed ontology, which allows to capture the structure of enriched extractions. In the last part practical experiment is carried out, in which the proposed methods are demonstrated. Future research in this field would be useful in areas of extraction and categorization of relational phrases.
Transformation of PMML files into Topic Maps
Ovečka, Marek ; Kliegr, Tomáš (advisor) ; Hazucha, Andrej (referee)
The goal of my bachelor thesis is to learn more about the possibilities of transformation of XML files into XML TopicMaps. Then I select one method and use it for implementation of transformation of PMML files, which contains model of association rules into TopicMap containing Association rule Ontology (AROn). For transformation, two different methods were selected. First is transformation of input XML file with XSLT and examples of how this can be done are shown. Second way is to use a programming engine, which enables to process input file and which implements either its own or standardized API for working with TopicMaps. For illustration of creating TopicMaps I have chosen TMAPI 2.0. Examples show basic operations such as creating new topic, creating association between two topics and creating occurrence. This paper consists of three main chapters. First is about the structure of input PMML document and its parts. Second chapter is about TopicMaps, the principle of this technology and possibilities of working with it are briefly shown. In the third chapter I comment all parts of the program which perform the transformation. In this chapter I also describe and explain the mapping between parts of the input XML file and the components of AROn ontology. The final program should serve as a component of the Sewebar project. For its complete functionality it needs to customize the transformation for the newest structure of the input document and customize the program itself for integration with other components of the project.

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1 Ovečka, Michal
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