Identifying Knowledge Gaps Using a Graph-based Knowledge Representation

Identifying Knowledge Gaps Using a Graph-based Knowledge Representation

Bibliographic Details
Main Author: Schmidt, Daniel P.
Language:English
Published: Wright State University / OhioLINK 2020
Subjects:
Computer Science
knowledge gap
computer science
knowledge integration
gap identification
gap resolution
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=wright1588866076446257
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-wright15888660764462572021-08-03T07:15:00Z Identifying Knowledge Gaps Using a Graph-based Knowledge Representation Schmidt, Daniel P. Computer Science knowledge gap computer science knowledge integration gap identification gap resolution 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. 2020-05-21 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1588866076446257 http://rave.ohiolink.edu/etdc/view?acc_num=wright1588866076446257 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Computer Science
knowledge gap
computer science
knowledge integration
gap identification
gap resolution
spellingShingle Computer Science
knowledge gap
computer science
knowledge integration
gap identification
gap resolution
Schmidt, Daniel P.
Identifying Knowledge Gaps Using a Graph-based Knowledge Representation
author Schmidt, Daniel P.
author_facet Schmidt, Daniel P.
author_sort Schmidt, Daniel P.
title Identifying Knowledge Gaps Using a Graph-based Knowledge Representation
title_short Identifying Knowledge Gaps Using a Graph-based Knowledge Representation
title_full Identifying Knowledge Gaps Using a Graph-based Knowledge Representation
title_fullStr Identifying Knowledge Gaps Using a Graph-based Knowledge Representation
title_full_unstemmed Identifying Knowledge Gaps Using a Graph-based Knowledge Representation
title_sort identifying knowledge gaps using a graph-based knowledge representation
publisher Wright State University / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=wright1588866076446257
work_keys_str_mv AT schmidtdanielp identifyingknowledgegapsusingagraphbasedknowledgerepresentation
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