Knowledge View Based on Rough Set and Similarity

DOI

10.2991/mmebc-16.2016.399How to use a DOI?

Keywords

view; knowledge item; rough set; similarity; knowledge management

Abstract

View maintenance is a hot topic in database. But unlike database view, the knowledge view of knowledge management system has its particularity. The knowledge view is a cache of knowledge item that can be access quickly. Based on rough set, this paper proposes an approach of constructing knowledge view. The approach divides the knowledge set into three region using rough set theory, then reduces the three region by calculating interest similarity of every knowledge item, and finally the knowledge view will be constructed by filtering the knowledge item of merged region that consists of the three reduced region. The experiment results show that the approach can construct knowledge view efficiently.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mingjian Zhou
AU  - Qiang Liao
AU  - Juncai Tao
PY  - 2016/06
DA  - 2016/06
TI  - Knowledge View Based on Rough Set and Similarity
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1983
EP  - 1988
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.399
DO  - 10.2991/mmebc-16.2016.399
ID  - Zhou2016/06
ER  -