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Structured Data Extraction from Unstructured Text
Kóša, Peter ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
Title: Structured Data Extraction from Unstructured Text Author: Bc. Peter Kóša Department: Department of Software Engineering Supervisor: Mgr. Martin Nečaský, Ph.D., Department of Software Engineering Abstract: In the last 20 years, there has been an ever-growing amount of information present on the Internet and in published texts. However, this information is often in a non-structured format and this causes various problems such as the inability to efficiently search in diverse collections of texts (medical reports, ads, etc.). To overcome these problems, we need efficient tools capable of automatic processing, extracting the important information and storing of these results in some form for later reuse. The purpose of this thesis is to compare existing solutions as well as to compare them with our solution, which was created in the scope of software project SemJob. The SemJob project is introduced and the reader can therefore obtain knowledge about its inner structure and workings. Keywords: structured data extraction, extraction rules, ontologies, (semi)automatic wrapper induction
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Structured Data Extraction from Unstructured Text
Kóša, Peter ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
Title: Structured Data Extraction from Unstructured Text Author: Bc. Peter Kóša Department: Department of Software Engineering Supervisor: Mgr. Martin Nečaský, Ph.D., Department of Software Engineering Abstract: In the last 20 years, there has been an ever-growing amount of information present on the Internet and in published texts. However, this information is often in a non-structured format and this causes various problems such as the inability to efficiently search in diverse collections of texts (medical reports, ads, etc.). To overcome these problems, we need efficient tools capable of automatic processing, extracting the important information and storing of these results in some form for later reuse. The purpose of this thesis is to compare existing solutions as well as to compare them with our solution, which was created in the scope of software project SemJob. The SemJob project is introduced and the reader can therefore obtain knowledge about its inner structure and workings. Keywords: structured data extraction, extraction rules, (semi)automatic wrapper induction
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Graphical user interface for an RDF visualizer
Kóša, Peter ; Dokulil, Jiří (advisor) ; Dědek, Jan (referee)
In the present work we examine one implementation of a graphical user interface for a display and navigation in the RDF data. In addition, this single application is being briefly compared to several others, already existent alternative programs with the same purpose, followed by a short discussion of the application's overall pros and cons. The major focus of the thesis stays on the details of this particular implementation, evaluation of used algorithms and chosen components from C# and XAML technologies. Furthermore, we present suggestions for additional improvements and extensions that could be of use and therefore should be incorporated in the final product, should the application ever enter wholesale distribution.
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Structured Data Extraction from Unstructured Text
Kóša, Peter ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
Title: Structured Data Extraction from Unstructured Text Author: Bc. Peter Kóša Department: Department of Software Engineering Supervisor: Mgr. Martin Nečaský, Ph.D., Department of Software Engineering Abstract: In the last 20 years, there has been an ever-growing amount of information present on the Internet and in published texts. However, this information is often in a non-structured format and this causes various problems such as the inability to efficiently search in diverse collections of texts (medical reports, ads, etc.). To overcome these problems, we need efficient tools capable of automatic processing, extracting the important information and storing of these results in some form for later reuse. The purpose of this thesis is to compare existing solutions as well as to compare them with our solution, which was created in the scope of software project SemJob. The SemJob project is introduced and the reader can therefore obtain knowledge about its inner structure and workings. Keywords: structured data extraction, extraction rules, (semi)automatic wrapper induction
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Structured Data Extraction from Unstructured Text
Kóša, Peter ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
Title: Structured Data Extraction from Unstructured Text Author: Bc. Peter Kóša Department: Department of Software Engineering Supervisor: Mgr. Martin Nečaský, Ph.D., Department of Software Engineering Abstract: In the last 20 years, there has been an ever-growing amount of information present on the Internet and in published texts. However, this information is often in a non-structured format and this causes various problems such as the inability to efficiently search in diverse collections of texts (medical reports, ads, etc.). To overcome these problems, we need efficient tools capable of automatic processing, extracting the important information and storing of these results in some form for later reuse. The purpose of this thesis is to compare existing solutions as well as to compare them with our solution, which was created in the scope of software project SemJob. The SemJob project is introduced and the reader can therefore obtain knowledge about its inner structure and workings. Keywords: structured data extraction, extraction rules, ontologies, (semi)automatic wrapper induction
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Graphical user interface for an RDF visualizer
Kóša, Peter ; Dědek, Jan (referee) ; Dokulil, Jiří (advisor)
In the present work we examine one implementation of a graphical user interface for a display and navigation in the RDF data. In addition, this single application is being briefly compared to several others, already existent alternative programs with the same purpose, followed by a short discussion of the application's overall pros and cons. The major focus of the thesis stays on the details of this particular implementation, evaluation of used algorithms and chosen components from C# and XAML technologies. Furthermore, we present suggestions for additional improvements and extensions that could be of use and therefore should be incorporated in the final product, should the application ever enter wholesale distribution.
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