Knowledge acquisition for knowledge management: position paper

Christopher A. Brewster; Fabio Ciravegna; Yorick Wilks

Knowledge acquisition for knowledge management: position paper

Christopher A. Brewster, Fabio Ciravegna, Yorick Wilks

Research output: Chapter in Book/Published conference output › Chapter

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.

Original language	English
Title of host publication	Proceeding of the IJCAI-2001 Workshop on Ontology Learning
Place of Publication	Seattle, WA
Publisher	CEUR-WS.org
Publication status	Published - 2001

Bibliographical note

Keywords

knowledge
acquisition
knowledge management
automatisation
information extraction
IE
information retrieval
natural language processing
knowledge engineers

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Knowledge Acquisition for Knowledge Management: Position Paper
© 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
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title = "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.",

keywords = "knowledge, acquisition, knowledge management, automatisation, information extraction, IE, information retrieval, natural language processing, knowledge engineers",

author = "Brewster, {Christopher A.} and Fabio Ciravegna and Yorick Wilks",

note = "{\textcopyright} 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",

year = "2001",

language = "English",

booktitle = "Proceeding of the IJCAI-2001 Workshop on Ontology Learning",

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TY - CHAP

T1 - Knowledge acquisition for knowledge management: position paper

AU - Brewster, Christopher A.

AU - Ciravegna, Fabio

AU - Wilks, Yorick

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - knowledge

KW - acquisition

KW - knowledge management

KW - automatisation

KW - information extraction

KW - IE

KW - information retrieval

KW - natural language processing

KW - knowledge engineers

UR - http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-38/

M3 - Chapter

BT - Proceeding of the IJCAI-2001 Workshop on Ontology Learning

PB - CEUR-WS.org

CY - Seattle, WA

ER -

Knowledge acquisition for knowledge management: position paper

Abstract

Bibliographical note

Keywords

Access to Document

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