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LORI: Linguistically Oriented RDF Interface For Querying Fuzzy Temporal Data
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- Author / Creator
- Robatjazi, Majid
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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. -
- Subjects / Keywords
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- Graduation date
- Fall 2015
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- Type of Item
- Thesis
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- Degree
- Master of Science
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- License
- This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.