Constructing Fuzzy Ontology by Using Method of Concept Distance Clustering

被引：0
|
作者：
Liu, Ning [1 ]
Sun, Feng-Jiao [1 ]
Ning, Bo [1 ]
Li, Qiang-Qiang [1 ]
机构：
[1] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian, Peoples R China
来源：
2013 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2013 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (HPCC_EUC) | 2013年
关键词：
Constructing; Conceptual Distance Clustering; Fuzzy Concept Lattice; Fuzzy Ontology;
D O I：
10.1109/HPCC.and.EUC.2013.180
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the wide application of ontology in the field of computer, ontology aroused people's concern. In order to conduct nubilous object, Fuzzy ontology is introduced. How to construct the fuzzy ontology becomes a meaningful work. It is known that the inaccuracy of information is high, which leads to inefficiency in the manual construction of fuzzy ontology. To solve this problem, conceptual distance clustering method based fuzzy ontology construction is proposed to meet the user need to the maximum extent, which is combined with fuzzy set theory and fuzzy concept lattice. Firstly, fuzzy concept lattice is constructed by gradual mode method. Secondly, fuzzy parameters are used to process conceptual distance clustering, and fuzzy concept hierarchy is obtained. Finally, a fuzzy ontology is mapped and gotten. The experimental results show that both usability and effectiveness of the proposed method are better than the former methods.
引用
收藏
页码：1269 / 1273
页数：5
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