Date of Award

1-1-2017

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Information Science

Content Description

1 online resource (x, 131 pages) : illustrations (some color)

Dissertation/Thesis Chair

Jagdish Gangolly

Committee Members

Eliot Rich, Amir Masoumzadeh, Ronald Coleman

Keywords

biometric authentication, biometrics, information assurance, knowledge organization and representation, natural language processing, ontology engineering, Biometric identification, Computer security, Computer networks, Natural language processing (Computer science), Ontologies (Information retrieval)

Subject Categories

Library and Information Science

Abstract

This dissertation explores some of the fundamental challenges facing the information assurance community as it relates to knowledge categorization, organization and representation within the field of information security and more specifically within the domain of biometric authentication. A primary objective of this research is the development of a biometric authentication corpus and an empirically derived ontological prototype, which aids and promotes further research into the fundamental ontological structure of the field of biometric authentication. In doing so this research explores the use of automated and semi-supervised ontological engineering, corpus analysis and natural language processes techniques in the development of this ontological prototype. This research intends to improve our understanding of underlying concepts, attributes and inter-dependencies within the domain by integrating disparate biometric authentication theories and clarify theoretical and conceptual inconsistencies within the domain. This research may in turn improve reasoning, biometric systems design, data modeling and schema design and improve risk management practices in the deployment and integration of such technologies in industry, academia and government.

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