Title

Towards knowledge morphing: a triangulation approach to link tacit and explicit knowledge

Abstract/Description

Current knowledge management systems are largely designed to deal with a single knowledge modality. Given the diversity of knowledge modalities that encompass any given topic/problem it is reasonable to demand access and use of all available knowledge, irrespective of their representation modality, to derive a knowledge-mediated solution. This calls for selecting all knowledge elements (represented in different modalities) that are relevant to the solution of the problem at hand. Thus here we pursue the specification and implementation of such a knowledge-mediated solution using a triangulation approach leading to Knowledge Morphing. In this paper we present a tacit-explicit knowledge morphing (TEKM) system in the healthcare setting that supports the extraction of tacit knowledge from past cases stored in a case-base and mapping it with corresponding explicit knowledge stored in clinical practice guidelines. Here we present the system design and intended functionality of our knowledge management framework.

Location

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

Session Theme

Poster Session B: Artificial Intelligence [AI-2]

Session Type

Poster Session

Session Chair

Dr. Akmal Butt

Start Date

28-8-2005 2:10 PM

End Date

28-8-2005 2:30 PM

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Aug 28th, 2:10 PM Aug 28th, 2:30 PM

Towards knowledge morphing: a triangulation approach to link tacit and explicit knowledge

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

Current knowledge management systems are largely designed to deal with a single knowledge modality. Given the diversity of knowledge modalities that encompass any given topic/problem it is reasonable to demand access and use of all available knowledge, irrespective of their representation modality, to derive a knowledge-mediated solution. This calls for selecting all knowledge elements (represented in different modalities) that are relevant to the solution of the problem at hand. Thus here we pursue the specification and implementation of such a knowledge-mediated solution using a triangulation approach leading to Knowledge Morphing. In this paper we present a tacit-explicit knowledge morphing (TEKM) system in the healthcare setting that supports the extraction of tacit knowledge from past cases stored in a case-base and mapping it with corresponding explicit knowledge stored in clinical practice guidelines. Here we present the system design and intended functionality of our knowledge management framework.