Thesis Details

Sémantická anotace textu

Ph.D. Thesis Student: Dytrych Jaroslav Academic Year: 2016/2017 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Semantic Annotation of Text
Language
Czech
Abstract

This thesis deals with intelligent systems for support of the semantic annotation of text. It discusses the motivation for creation of such systems and state of the art in the areas of their usage. The thesis also describes newly proposed and realised annotation system which realizes advanced functions of semantic filtering and presentation of annotation suggestion alternatives in a unique way. The results of finished experiments clearly show the advantages of proposed solution. They also prove that the user interface of the annotation tools affects the annotation process. The optimisation of displayed information for the task of disambiguation of ambiguous entity names was done and proposed methods to speedup and increase of quality of the created annotations was experimentally evaluated. The comparison with the Protégé general tool has proven the benefits of created system for collaborative ontology creation which should be anchored in the text. In the conclusion, all achieved results are analysed and summarized.

Keywords

semantic annotations, structured annotations, protocol for annotation transmission, comparison of annotation tools, W3C Web Annotation, W3C Open Annotation, annotation suggestions, alternative suggestions of annotations, semantic filtering, ontology creation based on text

Department
Degree Programme
Computer Science and Engineering, Field of Study Computer Science and Engineering
Files
Status
defended
Date
24 March 2017
Citation
DYTRYCH, Jaroslav. Sémantická anotace textu. Brno, 2016. Ph.D. Thesis. Brno University of Technology, Faculty of Information Technology. 2017-03-24. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/phd-thesis/548/
BibTeX
@phdthesis{FITPT548,
    author = "Jaroslav Dytrych",
    type = "Ph.D. thesis",
    title = "S\'{e}mantick\'{a} anotace textu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/phd-thesis/548/"
}
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