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Converting Textual Documents to RDF Triples, Covering Syntactic and Semantic Structures Open Access


Other title
Semantic Web
Linked Data
Data Graph
Text Processing
Type of item
Degree grantor
University of Alberta
Author or creator
Hassanzadeh, Kimia
Supervisor and department
Pedrycz, Witold (Electrical and Computer Engineering)
Reformat, Marek (Electrical and Computer Engineering)
Examining committee member and department
Kuru, Ergun (Mining and Petroleum Engineering)
Han, Jie (Electrical and Computer Engineering)
Department of Electrical and Computer Engineering
Software Engineering and Intelligent Systems
Date accepted
Graduation date
Master of Science
Degree level
An important contribution of the Semantic Web is a new format of data representation called Resource Description Framework (RDF). In RDF every piece of information is represented by a triple: . RDFs are densely interlinked between each other and are becoming very popular format of representing data on the web. As of August 2011, the last available data, more than 31 billion of triples exist on the web. In this set of work, we propose a system for information extraction from plain text in form of RDF triples. The proposed method is independent of prior knowledge-base and domain-specific patterns, and is applicable to any textual resources. Our approach is capable of identifying grammatical structure of an input sentence and analyzing its semantic to generate meaningful RDF triples of information, readable by human users and software agents. Through several experiments, we evaluate this approach by demonstrating the quality of our results.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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