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A textual case-based reasoning framework for knowledge management applications
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2033
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| 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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