Thesis Details

Indexing of Big Text Data and Searching in the Indexed Data

Master's Thesis Student: Kozák David Academic Year: 2019/2020 Supervisor: Dytrych Jaroslav, Ing., Ph.D.
Czech title
Indexace rozsáhlých textových dat a vyhledávání v zaindexovaných datech
Language
English
Abstract

The topic of this thesis is semantic searching over big textual data. The goal is to design and implement a search engine that queries the semantically enhanced documents efficiently and has a user friendly interface for working with the results. Firstly, state of the art solutions along with their strengths and shortcomings are analyzed. Then a design for new search engine is presented along with a specialized query language. The system consists of components for indexing and searching the documents, management server, compiler for the query language and two clients, web based and command line. The engine has been successfully designed, developed and deployed and is available via the Internet. As a result of that, the possibility of using of the semantic searching is available to a wide audience.

Keywords

search engine, semantic enhancement, MG4J, compiler, indexation, searching, annotation, big data

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade A
Date
17 July 2020
Reviewer
Smrž Pavel, doc. RNDr., Ph.D.
Committee
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
KOZÁK, David. Indexing of Big Text Data and Searching in the Indexed Data. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-17. Supervised by Dytrych Jaroslav. Available from: https://www.fit.vut.cz/study/thesis/22961/
BibTeX 
@mastersthesis{FITMT22961,
    author = "David Koz\'{a}k",
    type = "Master's thesis",
    title = "Indexing of Big Text Data and Searching in the Indexed Data",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/22961/"
}

Theses

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