A taxonomy approach for multi-context trust: Formalization and implementation

作者：

Highlights：

• Multi-context trust model in which contexts can be related by a taxonomy.

• All represented Information has a symbolic trust degree and an associated context.

• Taxonomy of contexts can be used to infer trust from related contexts.

• Algorithms for computing trust and solving conflicts among contexts.

• Empirical and qualitative analysis to evaluate implemented version.

摘要

•Multi-context trust model in which contexts can be related by a taxonomy.•All represented Information has a symbolic trust degree and an associated context.•Taxonomy of contexts can be used to infer trust from related contexts.•Algorithms for computing trust and solving conflicts among contexts.•Empirical and qualitative analysis to evaluate implemented version.

论文关键词：Trust system,Multi-context,Multi-Agent System

论文评审过程：Received 23 November 2018, Revised 6 March 2019, Accepted 6 March 2019, Available online 7 March 2019, Version of Record 18 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.013