LiU Electronic Press
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Author:
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Lukaszewicz, Witold (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Szalas, Andrzej (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
Information Granules for Intelligent Knowledge Structures
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC)
Editor:
Guoyin Wang, Qing Liu, Yiyu Yao, Andrzej Skowron
Publisher: Springer
Series:
Lecture Notes in Computer Science, ISSN 0302-9743; 2639
Pages:
405-412
Year of publ.:
2003
URI:
urn:nbn:se:liu:diva-22956
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-22956
ISBN:
978-3-540-14040-5
Local ID:
2326
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

The premise of this paper is that the acquisition, aggregation, merging and use of information requires some new ideas, tools and techniques which can simplify the construction, analysis and use of what we call ephemeral knowledge structures. Ephemeral knowledge structures are used and constructed by granular agents. Each agent contains its own granular information structure and granular information structures of agents can be combined together. The main concept considered in this paper is an information granule. An information granule is a concise conceptual unit that can be integrated into a larger information infrastructure consisting of other information granules and dependencies between them. The novelty of this paper is that it provides a concise and formal definition of a particular view of information granule and its associated operators, as required in advanced knowledge representation applications.

Available from:
2009-10-07
Created:
2009-10-07
Last updated:
2012-02-13
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