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Visualizing Epistemic Structures of Interrogative Domain Models

Hughes, Tracey D.
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1227294380

Abstract Details

2008, Master of Computing and Information Systems, Youngstown State University, Department of Computer Science and Information Systems.
In this paper, we explore the concept of epistemic visualization in interrogative domains. Epistemic visualization is the process and result of developing visual models that capture the structure, content, justification and acquisition of knowledge obtained by a software agent in a knowledge-based system. The knowledge is the foundation in which the agent can respond to queries against a corpus containing questions and answers. The visualizations are therefore used to examine the quality of the software agent's knowledge. The visual models will include justification and commitment artifacts as well as knowledge acquisition flow. The visualization will demarcate the a priori and posteriori knowledge. The knowledge of the software agent is stored in epistemic structures which are knowledge representation schemes that supports the basic concepts of knowledge as defined by the tripartite analysis of knowledge. Epistemic visualization is used to analyze the quality of the knowledge of a software agent in an interrogative domain. For our purpose, interrogative domains are hearings, trials, interrogations, personality test or any document source in which the primary content is questions and answers pairs. In this paper, we introduce the Epistemic Structure Es that captures the agent's knowledge and the visualization of that epistemic structure using common visualization techniques.
Alina Lazar, PhD (Committee Chair)
John Sullins, PhD (Committee Member)
Yong Zhang, PhD (Committee Member)
50 p.
Artificial Intelligence; Computer Science; Information Systems; Linguistics; Technology
epistemic visualization; knowledge space; knowledge visualization; information visualization; knowledge representation; semantic web; agents; epistemic structures; epistemic justification; propositional knowledge; natural language processing

Recommended Citations

Citations

  • Hughes, T. D. (2008). Visualizing Epistemic Structures of Interrogative Domain Models [Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1227294380

    APA Style (7th edition)

  • Hughes, Tracey. Visualizing Epistemic Structures of Interrogative Domain Models. 2008. Youngstown State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1227294380.

    MLA Style (8th edition)

  • Hughes, Tracey. "Visualizing Epistemic Structures of Interrogative Domain Models." Master's thesis, Youngstown State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1227294380

    Chicago Manual of Style (17th edition)

ysu1227294380
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© 2008, all rights reserved.
This open access ETD is published by Youngstown State University and OhioLINK.