Knowledge acquisition for knowledge management: position paper

Abstract

With this paper, we propose a set of techniques to largely automate the process of KA, by using technologies based on Information Extraction (IE) , Information Retrieval and Natural Language Processing. We aim to reduce all the impeding factors mention above and thereby contribute to the wider utility of the knowledge management tools. In particular we intend to reduce the introspection of knowledge engineers or the extended elicitations of knowledge from experts by extensive textual analysis using a variety of methods and tools, as texts are largely available and in them - we believe - lies most of an organization's memory.

Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: © 2001 for the individual papers by the papers' authors. Copying permitted for private and scientific purposes. Re-publication of material requires permission by the copyright owners
Uncontrolled Keywords: knowledge,acquisition,knowledge management,automatisation,information extraction,IE,information retrieval,natural language processing,knowledge engineers
Last Modified: 25 Nov 2024 08:58
Date Deposited: 29 Oct 2009 11:41
Full Text Link:
Related URLs: http://sunsite. ... CEUR-WS/Vol-38/ (Publisher URL)
PURE Output Type: Chapter
Published Date: 2001
Authors: Brewster, Christopher A. (ORCID Profile 0000-0001-6594-9178)
Ciravegna, Fabio
Wilks, Yorick

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