ERA

Download the full-sized PDF of LORI: Linguistically Oriented RDF Interface For Querying Fuzzy Temporal DataDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R33N20K4N

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

LORI: Linguistically Oriented RDF Interface For Querying Fuzzy Temporal Data Open Access

Descriptions

Other title
Subject/Keyword
Linked Data
Ontology
Fuzzy Temporal Data
Temporal Predicates
RDF
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Robatjazi, Majid
Supervisor and department
Pedrycz, Witold (Electrical and Computer Engineering)
Reformat, Marek (Electrical and Computer Engineering)
Examining committee member and department
Pedrycz, Witold (Electrical and Computer Engineering)
Karapetrovic, Stanislav (Mechanical Engineering)
Musilek, Peter (Electrical and Computer Engineering)
Reformat, Marek (Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Software Engineering and Intelligent Systems
Date accepted
2015-09-25T15:05:59Z
Graduation date
2015-11
Degree
Master of Science
Degree level
Master's
Abstract
The concept of Semantic Web, introduced by Berners-Lee in 2001, emphasizes importance of expressing semantics of data stored on the web. The introduced data format called Resource Description Framework (RDF) is a meaningful way of expressing and exploring data relations. It provides basics for constructing semantics-oriented data formats including ontology. More and more often ontology and RDF are used to represent variety of data including N-ary relations and temporal information. On many occasions this results in complex data structures. Their utilization requires a full understating of used data configurations. The thesis introduces and describes a methodology for querying RDF-based data containing temporal information and built using non-trivial data structures. The methodology is suitable for dealing with logic-based data structures – ontology – and less constrained data formats – RDF. A significant contribution of the thesis is a fuzzy-based Linguistically Oriented RDF Interface – LORI. The interface includes specialized build-in predicates suitable for constructing temporal queries and supporting imprecise phrases describing time and data features, and high-level predicates built based on them. A number of case studies focused on querying time-based events, as well as and their performance evolutions are presented.
Language
English
DOI
doi:10.7939/R33N20K4N
Rights
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. 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.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2015-09-25T21:06:00.400+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 3217020
Last modified: 2016:06:24 18:20:44-06:00
Filename: Robatjazi_Majid_201509_MSc.pdf
Original checksum: ff5fcf2cfb00da0747c246080f3219ac
Well formed: true
Valid: true
File author: Majid
Page count: 122
File language: en-US
Activity of users you follow
User Activity Date