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Scalable, Efficient and Precise Natural Language Processing in the Semantic Web

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  • Mon, 12/03/2018 - 1:00pm - 3:00pm




The School of Computer Science at the University of Windsor is pleased to present …

 

Scalable, Efficient and Precise Natural Language Processing in the Semantic Web

 

PhD. Thesis Proposal by:

 

Shane Peelar

 

Date:                           Monday, December 3, 2018

Time:                         1:00 pm – 3:00pm

Location:                    3105, Lambton Tower

 

Abstract:

The Semantic Web is an emerging component of the set of technologies that will be known as “Web 3.0” in the future. With the large changes it brings to how information is stored and represented to users, there is a need to re-evaluate how this information can be queried. Specifically, there is a need for Natural Language Interfaces that allow users to easily query for information on the Semantic Web. The problems in creating such an interface are threefold.  First, it should be scalable, capable of handing both small and large databases. Second, it should be efficient, capable of running on low-power hardware.  Lastly, it should achieve these two goals while returning precise results. The goal of this research is to provide a framework for creating powerful Natural Language Query Interfaces to large Semantic Web databases on decentralized low power devices, such as those that compose the Internet of Things.

Thesis Committee:     

Internal Readers: Dr. Jianguo Lu and Dr. Pooya Moradian Zadeh   

External Reader: Dr. Richard Caron

Advisor: Dr. Richard Frost                

 

 

 



Melissa Robinet
csgradinfo@uwindsor.ca
(519)253-3000 ext.3716