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Interactive Graphical Data Presentation on the WWW
Škrobánek, Kristián ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
This bachelor thesis focuses on interactive graphical presentation of large amounts of data,in a way which presents user with best possible view of wanted information. After research ofpossibilites and technologies focusing on this matter, the suitable tool was chosen, conceptwas created and then was projected the data visualizing aplication itself. This solutionoffers benefits such as clarity, speed of visualization, easy manipulation and intuitive viewof data. First part of the work focuses on used technologies, approaches to the problem anddesign of solution. Second part contains details of realization and testing of application.
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Web Interface for Managing RDF Data Sets
Kiss, Tomáš ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
The main aim of this thesis is to provide information about RDF data model. Theoretical part of the thesis represents possible ways of storing RDF data, existing RDF storages and SPARQL query language. Furthermore, there is a brief representation of tools used for creation of client web applications with main focus on the Vue.js framework. Acquired knowledge is used to implement web interface enabling browsing of RDF storage and interactive creation of SPARQL queries.
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RDF Data Visualization in Web Browsers
Škrobánek, Kristián ; Polčák, Libor (referee) ; Burget, Radek (advisor)
This diploma thesis focuses on graph database data visualization, where data is stored in RDF format. Standard visualisation of RDF data in tables does not offer sufficiently usable user view. One of the goals of this work is to show RDF data in interactive graph, which is ideal form of viewing data considering lucidity and information value. The graph gives good view of not only the data itself but also relationships between the data. Another goal is to test ability of browsers to visualize large amounts of data.
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Web Interface for Managing RDF Data Sets
Kiss, Tomáš ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
The main aim of this thesis is to provide information about RDF data model. Theoretical part of the thesis represents possible ways of storing RDF data, existing RDF storages and SPARQL query language. Furthermore, there is a brief representation of tools used for creation of client web applications with main focus on the Vue.js framework. Acquired knowledge is used to implement web interface enabling browsing of RDF storage and interactive creation of SPARQL queries.
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RDF Data Visualization in Web Browsers
Škrobánek, Kristián ; Polčák, Libor (referee) ; Burget, Radek (advisor)
This diploma thesis focuses on graph database data visualization, where data is stored in RDF format. Standard visualisation of RDF data in tables does not offer sufficiently usable user view. One of the goals of this work is to show RDF data in interactive graph, which is ideal form of viewing data considering lucidity and information value. The graph gives good view of not only the data itself but also relationships between the data. Another goal is to test ability of browsers to visualize large amounts of data.
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Interactive Graphical Data Presentation on the WWW
Škrobánek, Kristián ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
This bachelor thesis focuses on interactive graphical presentation of large amounts of data,in a way which presents user with best possible view of wanted information. After research ofpossibilites and technologies focusing on this matter, the suitable tool was chosen, conceptwas created and then was projected the data visualizing aplication itself. This solutionoffers benefits such as clarity, speed of visualization, easy manipulation and intuitive viewof data. First part of the work focuses on used technologies, approaches to the problem anddesign of solution. Second part contains details of realization and testing of application.
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Extrakce znalostních grafů z projektové dokumentace
Helešic, Tomáš ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
Title: Knowledge Graph Extraction from Project Documentation Author: Bc. Tomáš Helešic Department: Department of Software Engineering Supervisor: Mgr. Martin Nečaský, Ph.D. Abstract: The goal of this thesis is to explore the possibilities of automatic in- formation extraction from company project documentation with the use of ma- chine natural language processing and the analysis of the precision of linguistic processing of these documents. Furthermore suggest methods how acquire key terms and dependencies between them. From this terms and dependencies cre- ate knowledge graphs, that are stored in an appropriate database with search engine. The work is trying to interconnect already existing technologies in a shape of a simple application and test their readiness for a practical use. The goal is to inspire future research in this field, identify critical parts and propose improvements. The main gain is in the interconnection between natural lan- guage processing, methods of information extraction and semantic searching in corporate documents. The gain of the practical part reside in the way how to identify key information that is uniquely describing each document and its use in search. Keywords: Knowledge graphs, Information extraction, Natural language pro- cessing, Resource Description Framework 1
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Extrakce znalostních grafů z projektové dokumentace
Helešic, Tomáš ; Nečaský, Martin (advisor) ; Kruliš, Martin (referee)
Title: Knowledge Graph Extraction from Project Documentation Author: Bc. Tomáš Helešic Department: Department of Software Engineering Supervisor: Mgr. Martin Nečaský, Ph.D. Abstract: With the new research progress in the natural language processing and information extraction from text, new possibility of automatic knowledge acqui- sition and its grouping into Knowledge graphs, that are catching the semantic relations between these entities is emerging. For these Knowledge graphs, data storages and also query languages already exists, which allow more precise and relevant search possibilities compare with current full text search engines. The goal of this thesis is to explore the opportunity of automatic extraction of infor- mation from project documentation with the use of linguistic text processing, design a proper data storage and build a search engine over it. Keywords: Knowledge grahs, Information extraction, Natural language process- ing, Resource Description Framework 1
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SPARQL plugin for Ontopia Knowledge Suite
Ovčáčík, Vlastimil ; Kliegr, Tomáš (advisor) ; Svátek, Vojtěch (referee)
Reader of this bachelor thesis will familiarize with two technologies of semantic web -- Topic Maps and RDF. In the first half of this document we can find principles, history and thoughts on near future of both technologies. There are explained necessary principles of both standards. Emphasis is placed on query languages SPARQL and TMQL. Object of this thesis is understanding differences and mutual aspects of both Topic Maps and RDF. This understanding is key for finding interoperability between these two technologies on semantic web. The second half of this thesis is aimed on implementation of sparql4ontopia - a plugin for Ontopia Knowledge Suite, which enables quering topic maps with SPARQL. This plugin utilizes Sesame project for SPARQL query evaluation and Nikunau tool from SesameTM project for mapping SPARQL on Topic Maps Data Model. Possibilities and limitations of this plugin are described. There is also description of sparql4ontopia development and implementation. Last chapter shed light on SPARQL endpoint and possible way of implementation into Ontopia Knowledge Suite.
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