Mapping fuzzy concepts between fuzzy ontologies

被引：0
|
作者：
Xu, BW [1 ]
Kang, DZ
Lu, JJ
Li, YH
Jiang, JX
机构：
[1] Southeast Univ, Dept Comp Sci & Engn, Nanjing 210096, Peoples R China
[2] Jiangsu Inst Software Qual, Nanjing 210096, Peoples R China
[3] Wuhan Univ, State Key Lab Software, Wuhan 430072, Peoples R China
[4] PLA Univ Sci & Technol, Nanjing 210007, Peoples R China
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS | 2005年 / 3683卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fuzzy ontology mapping is important for handling uncertain knowledge on the semantic web. However, current ontology mapping technologies are not sufficient for fuzzy ontologies. This paper proposes a framework of mapping fuzzy concepts between fuzzy ontologies. It applies the approximate concept mapping approach, extends atom fuzzy concept sets and defines the least upper bounds to reduce the searching space. It resolves the mapping problem of fuzzy concepts into finding the simplified least upper bounds for atom fuzzy concepts, and gives an algorithm for searching the simplified least upper bounds, which is fast and proved correct. The framework is efficient for mapping fuzzy concepts between fuzzy ontologies.
引用
收藏
页码：199 / 205
页数：7
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