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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/2033

Title: A textual case-based reasoning framework for knowledge management applications
Authors: Weber, Rosina O.
Aha, David
Sandhu, Nabil
Munoz-Avila, Hector
Issue Date: 2001
Publisher: Shaker Verlag
Citation: Paper presented at Professionelles Wissenmanagement Erfahrungen und Visionen. Knowledge Management by Case-Based Reasoning: Experience Management as Reuse of Knowledge: pp. 244-253.
Abstract: Knowledge management (KM) systems manipulate organizational knowledge by storing and redistributing corporate memories that are acquired from the organization’s members. In this paper, we introduce a textual casebased reasoning (TCBR) framework for KM systems that manipulates organizational knowledge embedded in artifacts (e.g., best practices, alerts, lessons learned). The TCBR approach acquires knowledge from human users (via knowledge elicitation) and from text documents (via knowledge extraction) using template-based information extraction methods, a subset of natural language, and a domain ontology. Organizational knowledge is stored in a case base and is distributed in the context of targeted processes (i.e., within external distribution systems). The knowledge artifacts in the case base have to be translated into the format of the external distribution systems. A domain ontology supports knowledge elicitation and extraction, storage of knowledge artifacts in a case base, and artifact translation.
URI: http://hdl.handle.net/1860/2033
Appears in Collections:Faculty Research and Publications (IST)

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