Visualizing Epistemic Structures of Interrogative Domain Models

 
 
 
 

Visualizing Epistemic Structures of Interrogative Domain Models

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dc.contributor.advisor Lazar, Alina en_US
dc.contributor.author Hughes, Tracey D. en_US
dc.date.accessioned 2009-04-10T08:16:13Z
dc.date.available 2009-04-10T08:16:13Z
dc.date.created 2008 en_US
dc.date.issued 2009-04-10T08:16:13Z
dc.identifier.uri http://rave.ohiolink.edu/etdc/view?acc_num=ysu1227294380 en_US
dc.identifier.uri http://hdl.handle.net/2374.OX/107936
dc.description 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. en_US
dc.format application/pdf en_US
dc.format ix, 50 p. en_US
dc.rights unrestricted en_US
dc.rights Copyright and permissions information available at the source archive en_US
dc.subject epistemic visualization en_US
dc.subject knowledge space en_US
dc.subject knowledge visualization en_US
dc.subject information visualization en_US
dc.subject knowledge representation en_US
dc.subject semantic web en_US
dc.subject agents en_US
dc.subject epistemic structures en_US
dc.subject epistemic justification en_US
dc.subject propositional knowledge en_US
dc.subject natural language processing en_US
dc.title Visualizing Epistemic Structures of Interrogative Domain Models en_US
dc.type Electronic Thesis or Dissertation en_US
dc.degree.name Master of Computing and Information Systems en_US
dc.degree.level masters en_US
dc.degree.discipline Computer Science and Information Systems en_US
dc.degree.grantor Youngstown State University en_US
dc.contributor.publisher Youngstown State University / OhioLINK en_US

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