E-government Decision Support System Based on Case-based Reasoning and Ontology

被引：0

作者：

Xiong, Cong-cong ^{[1
]}

Wang, Lan-ting ^{[1
]}

Tao, Xin ^{[1
]}

Deng, Ying ^{[1
]}

机构：

[1] Tianjin Univ Sci & Technol, Coll Comp Sci & Informat Engn, Tianjin 300222, Peoples R China

来源：

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) | 2015年

关键词：

e-government; case-based reasoning; ontology; case query network; cases retrieval;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

To give full play to the advantages of case-based reasoning and ontology, this paper combines them effectively. The method of e-government case representation is introduced in detail. A comprehensive ontology similarity calculation approach is used on the case query network. Finally the e-government discipline inspection and supervision case-based reasoning system is developed. We use the ontology to extract the case knowledge and we propose an improved retrieval algorithm during case-based reasoning. The system performance is improved significantly according to the application results.

引用

页码：869 / 873

页数：5

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