Knowledge representation through graphs

被引:12
作者
Portmann, Edy [1 ]
Kaltenrieder, Patrick [1 ]
Pedrycz, Witold [2 ,3 ,4 ]
机构
[1] Univ Bern, Inst Informat Syst, CH-3012 Bern, Switzerland
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton T6R 2V4, AB, Canada
[3] King Abdulaziz Univ, Dept Elect & Comp Engn, Fac Engn, Jeddah 21589, Saudi Arabia
[4] Polish Acad Sci Warsaw, Syst Res Inst, Warsaw, Poland
来源
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND SOFTWARE ENGINEERING (SCSE'15) | 2015年 / 62卷
关键词
fuzzy cognitive maps; fuzzy graphs; fuzzy hypergraphs; graphs; hypergraphs; HYPERGRAPHS;
D O I
10.1016/j.procs.2015.08.446
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the increasing amount of data, knowledge aggregation, representation and reasoning are highly important for companies. In this paper, knowledge aggregation is presented as the first step. In the sequel, successful knowledge representation, for instance through graphs, enables knowledge-based reasoning. There exist various forms of knowledge representation through graphs; some of which allow to handle uncertainty and imprecision by invoking the technology of fuzzy sets. The paper provides an overview of different types of graphs stressing their relationships and their essential features. An example is included for didactical reasons. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:245 / 248
页数:4
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