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A micro-organizational model for supporting knowledge migration

Authors:

F. H. Lochovsky,

C. C. Woo,

L. J. WilliamsAuthors Info & Claims

COCS '90: Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems

Pages 194 - 204

https://doi.org/10.1145/91474.91540

Published: 01 March 1990 Publication History

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Abstract

One of an organization's assets is the knowledge it has for carrying out its activities in an acceptable way. However, due to the constantly changing environment in which it operates, its knowledge must evolve in order for it to survive and to stay competitive. For this reason, it is inappropriate to hard-code organizational knowledge into a computer-based organizational support system. Supporting the evolution of organizational knowledge, in general, is a very difficult problem because the domain knowledge needed to support it is open-ended. However, certain forms of organizational knowledge evolution, where the knowledge needed for the evolution already exists in some form in the organization, can be supported. We call this type of knowledge evolution knowledge migration. To evolve, in this case, is to recognize the need for change, and to rearrange or acquire the knowledge (possibly located in several different locations). In this paper, we discuss an approach for supporting this type of knowledge evolution.

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Cited By

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Davidovsky MErmolayev VTolok V(2013)Evaluation of the Ontology Instance Migration Methodology and Solution in Industrial SettingsInformation and Communication Technologies in Education, Research, and Industrial Applications10.1007/978-3-319-03998-5_9(163-189)Online publication date: 2013
https://doi.org/10.1007/978-3-319-03998-5_9
Leshed GHaber EMatthews TLau TCzerwinski MLund ATan D(2008)CoScripterProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1357054.1357323(1719-1728)Online publication date: 6-Apr-2008
https://dl.acm.org/doi/10.1145/1357054.1357323
Li QLochovsky F(1998)ADOMEIEEE Transactions on Knowledge and Data Engineering10.1109/69.68375610:2(255-276)Online publication date: 1-Mar-1998
https://dl.acm.org/doi/10.1109/69.683756
Show More Cited By

Index Terms

A micro-organizational model for supporting knowledge migration
1. Computing methodologies
  1. Machine learning
    1. Learning settings
2. Information systems

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Published In

COCS '90: Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems

March 1990

291 pages

ISBN:0897913582

DOI:10.1145/91474

Editors:
Frederick H. Lochovsky
Univ. of Toronto, Toronto, Canada
,
Robert B. Allen

ACM SIGOIS Bulletin Volume 11, Issue 2-3
Apr. 1990
288 pages
ISSN:0894-0819
DOI:10.1145/91478
Editors:
Frederick H. Lochovsky
Univ. of Toronto, Toronto, Canada
,
Robert B. Allen
Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 1990

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COIS90

Sponsor:

IEEE-CS\TCDA
SIGGROUP

COIS90: Conference on Office Infor. Systems

April 25 - 27, 1990

Massachusetts, Cambridge, USA

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Cited By

View all

Davidovsky MErmolayev VTolok V(2013)Evaluation of the Ontology Instance Migration Methodology and Solution in Industrial SettingsInformation and Communication Technologies in Education, Research, and Industrial Applications10.1007/978-3-319-03998-5_9(163-189)Online publication date: 2013
https://doi.org/10.1007/978-3-319-03998-5_9
Leshed GHaber EMatthews TLau TCzerwinski MLund ATan D(2008)CoScripterProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1357054.1357323(1719-1728)Online publication date: 6-Apr-2008
https://dl.acm.org/doi/10.1145/1357054.1357323
Li QLochovsky F(1998)ADOMEIEEE Transactions on Knowledge and Data Engineering10.1109/69.68375610:2(255-276)Online publication date: 1-Mar-1998
https://dl.acm.org/doi/10.1109/69.683756
Kaneda YTamura NUrata YSaita AKawamura T(1995)Multi-agent programming system on a workstation networkIEEE Pacific Rim Conference on Communications, Computers, and Signal Processing. Proceedings10.1109/PACRIM.1995.519533(315-318)Online publication date: 1995
https://doi.org/10.1109/PACRIM.1995.519533
Bonin H(1992)Teamwork between non-equalsACM SIGOIS Bulletin10.1145/152683.15270513:3(18-27)Online publication date: 1-Dec-1992
https://dl.acm.org/doi/10.1145/152683.152705
Martens CLochovsky F(1991)OASISACM SIGOIS Bulletin10.1145/127769.12283412:2-3(29-42)Online publication date: 1-Oct-1991
https://dl.acm.org/doi/10.1145/127769.122834
Martens CLochovsky FLochovsky F(1991)OASISProceedings of the conference on Organizational computing systems10.1145/122831.122834(29-42)Online publication date: 1-Oct-1991
https://dl.acm.org/doi/10.1145/122831.122834
Li QLochovsky F(1996)Advanced database support facilities for CSCW systemsJournal of Organizational Computing and Electronic Commerce10.1080/109193996095402766:2(191-210)Online publication date: Jan-1996
https://doi.org/10.1080/10919399609540276

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