Artigo Revisado por pares

The hypothesis testing knowledge blend

2008; Taylor & Francis; Volume: 6; Issue: 4 Linguagem: Inglês

10.1057/kmrp.2008.20

ISSN

1477-8246

Autores

Ted Randles, Christopher D. Blades, Adam Fadlalla,

Tópico(s)

Semantic Web and Ontologies

Resumo

AbstractThe creation of several forms of knowledge that would enable organizations to ask and say the right things during complex diagnoses is proposed. Based on the concept of knowledge combustion, the hypothesis testing knowledge blend (HTKB) is the cognitive equivalent of petrol for the combustion engine. The HTKB requires the creation of a knowledge hybrid that uses existing technologies to ask and say the right things. In addition to timing mechanisms and problem space maps, two forms of declarative knowledge (directions and explanations) are integrated to create the HTKB. These directions and explanations would be obtained directly from the video recordings of diagnosticians conducting teleconsultations. By providing these profound dialogues during the conduct of complex diagnoses, the HTKB should increase the knowledge capital of organizations. Formal analyses are beginning to validate the conceptual structure (blue print) presented in this paper, and the results will be provided in the future.Keywords: pragmaticsknowledge creationcognitionknowledge types Additional informationNotes on contributorsTed RandlesAbout the authorsTed Randles is an associate professor of Computer Information Systems in the College of Business and Technology at Eastern Kentucky University, Richmond, Kentucky. He has a Bachelor's degree in political science from Cleveland State University, Cleveland, Ohio, an MPA from Ohio State University, Columbus, Ohio, and a post undergraduate certificate in information systems from Virginia Commonwealth University, Richmond, Virginia. Dr. Randles earned a Ph.D. in decision sciences from Georgia State University, Atlanta, Georgia and has over 15 years experience as a government and computer systems analyst. His current research interests include knowledge management, intelligent systems, medical information systems, and telemedicine. His research has been published in several journals including the Journal of Information and Knowledge Management and Telemedicine and E-health Journal.Christopher D BladesChristopher D. Blades is an associate professor of Computer Information Systems at American University of Afghanistan and an IT consultant in Richmond, Kentucky. He holds a B.Eng. from the University of East Anglia, England in Electrical Engineering and Ph.D. in Computation Methods from the University of Bath, England. His publication history includes Journal of Synthetic Metals, Journal of Information and Knowledge Management, AMCIS and SPIE Conference Proceedings. His current research interests include knowledge management, neural networks, intelligent agents, artificial intelligence, networking, and data mining. He is currently working on distributed web-based software applications utilizing Oracle 10g and Oracle application express (APEX). Dr. Blades was recently elected to the NICTAA Board to advise the Afghanistan government on IT and computer science policy.Adam FadlallaAdam Fadlalla is a professor of Computer and Information Science in the College of Business Administration at Cleveland State University, Cleveland, Ohio. He holds an MBA in Finance and Decision Sciences from Miami University, Oxford, Ohio, an M.Sc. in Computer Science and a Ph.D. in Computer Information Systems from the University of Cincinnati, Cincinnati, Ohio. Dr. Fadlalla served a Fulbright Scholarship with the UAE University in the United Arab Emirates. His current research interests include decision support systems, artificial intelligence applications, knowledge discovery in databases, and medical information systems. His research has been published in many journals, including Information and Management, Computers and Operations Research, Omega, Interfaces, Journal of the American Medical Informatics Association, Information Systems Management, and Journal of Information and Knowledge Management.

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