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Computer Science > Artificial Intelligence

arXiv:0810.4668 (cs)
[Submitted on 26 Oct 2008]

Title:On Granular Knowledge Structures

Authors:Yi Zeng, Ning Zhong
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Abstract: Knowledge plays a central role in human and artificial intelligence. One of the key characteristics of knowledge is its structured organization. Knowledge can be and should be presented in multiple levels and multiple views to meet people's needs in different levels of granularities and from different perspectives. In this paper, we stand on the view point of granular computing and provide our understanding on multi-level and multi-view of knowledge through granular knowledge structures (GKS). Representation of granular knowledge structures, operations for building granular knowledge structures and how to use them are investigated. As an illustration, we provide some examples through results from an analysis of proceeding papers. Results show that granular knowledge structures could help users get better understanding of the knowledge source from set theoretical, logical and visual point of views. One may consider using them to meet specific needs or solve certain kinds of problems.
Comments: 6 pages, 7 figures, Proceedings of 2008 International Conference on Advanced Intelligence
Subjects: Artificial Intelligence (cs.AI); Digital Libraries (cs.DL)
Cite as: arXiv:0810.4668 [cs.AI]
  (or arXiv:0810.4668v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.0810.4668

Submission history

From: Yi Zeng [view email]
[v1] Sun, 26 Oct 2008 07:17:42 UTC (129 KB)
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