Date of Award
3-2-2021
Publication Type
Doctoral Thesis
Degree Name
Ph.D.
Department
Computer Science
Keywords
compositional, IoT, montague, NLP, semantics
Supervisor
Richard A. Frost
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
The Internet of Things (IoT) is an emerging phenomenon in the public space. Users with accessibility needs could especially benefit from these “smart” devices if they were able to interact with them through speech. This thesis presents a Compositional Semantics and framework for developing extensible and expressive Natural Language Query Interfaces to the Semantic Web, addressing privacy and auditability needs in the process. This could be particularly useful in healthcare or legal applications, where confidentiality of information is a key concern
Recommended Citation
Peelar, Shane Michael, "Scalable, Efficient and Precise Natural Language Processing in the Semantic Web" (2021). Electronic Theses and Dissertations. 8531.
https://scholar.uwindsor.ca/etd/8531