Trusted Service Provider Discovery Based on Data, Information, Knowledge, and Wisdom

被引：6

作者：

Lei, Yu ^{[1
]}

Duan, Yucong ^{[2
]}

机构：

[1] Inner Mongolia Univ, Dept Comp Sci, Hohhot, Inner Mongolia, Peoples R China

[2] Hainan Univ, Sch Comp & Cyberspace Secur, Haikou, Hainan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING | 2021年 / 31卷 / 01期

关键词：

Knowledge graphs; trusted service discovery; reasoning; PROTECTION; FRAMEWORK; SYSTEM;

D O I：

10.1142/S0218194021400015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Data, information, knowledge, and wisdom forms a progressive relationship. Information is formed by data collation. Knowledge is filtered, refined, and processed from relevant information. Wisdom is based on knowledge and is accumulated through experience. This paper uses the progressive relationship of service data, information, knowledge, and wisdom to explain the expression of service knowledge graph. It is an increasingly challenging demand to discover trusted Cloud service providers with service data, information, and knowledge. We propose an efficient method of trusted service provider discovery based on service knowledge graphs, called PDG (Provider Discovery based on Graphs), to ensure that each service instance of composite services in Cloud systems is trustworthy. PDG evaluates the outputs of service providers in service classes with the help of additional service information. According to the additional service information, service knowledge is generated and trusted service providers can be found easily. PDG improves the accuracy of processing results by automatically replacing data provided by untrusted service providers with results provided by trusted service providers.

引用

页码：3 / 19

页数：17

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