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Multi-tool Methodology for Converting Text into RDF Triples Open Access


Other title
semantic web
Type of item
Degree grantor
University of Alberta
Author or creator
Mahamedi, Elham
Supervisor and department
Pedrycz, Witold ( Electrical and Computer Engineering)
Reformat, Marek ( Electrical and Computer Engineering)
Examining committee member and department
Robinson Fayek, Aminah ( Civil and Enviromental Engineering)
Musilek, Petr ( Electrical and Computer Engineering)
Department of Electrical and Computer Engineering
Software Engineering and Intelligent Systems
Date accepted
Graduation date
Master of Science
Degree level
There is no doubt that Internet becomes one of the most important sources of information. At the same time the amount of information stored on the web and available for users becomes enormous. In order to make this information more accessible and create prospects for software to process it automatically, a different format of storing information has been proposed by World Wide Web Consortium – it is called Resource Description Framework (RDF). This format can be described as a triple: subject-property-object. Application of RDF leads to creation of a highly interconnected network of nodes containing pieces of information. RDF could change how information is stored and processed on the web. However, one of the most common formats of representing information on the web is and will be a simple text. A textual format is the most natural way of representing information used by individuals. Therefore, in this thesis, we focus on the task of translating text into RDF. The proposed approach is based on a combination of well-known Natural Language Processing tools: parsers, with a web-based tool for disambiguation, and our own algorithms for combining the results obtained from these tools and converting them into RDF triples.
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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