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
Department or Program
Department of Computer Science and Engineering
Year Degree Awarded
2020
Copyright
Copyright 2020, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may not be modified. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
ORCID ID
0000-0002-9603-9529
