Publication Date

2020

Document Type

Thesis

Committee Members

Pascal Hitzler, Ph.D. (Advisor); Michael Raymer, Ph.D. (Committee Member); John Gallagher, Ph.D. (Committee Member); Christopher Myers, Ph.D. (Committee Member)

Degree Name

Master of Science (MS)

Abstract

Knowledge integration and knowledge bases are becoming more and more prevalent in the systems we use every day. When developing these knowledge bases, it is important to ensure the correctness of the information upon entry, as well as allow queries of all sorts; for this, understanding where the gaps in knowledge can arise is critical. This thesis proposes a descriptive taxonomy of knowledge gaps, along with a framework for automated detection and resolution of some of those gaps. Additionally, the effectiveness of this framework is evaluated in terms of successful responses to queries on a knowledge base constructed from a prepared set of instructions.

Page Count

79

Year Degree Awarded

2020

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

ORCID ID

0000-0002-9603-9529


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