Establishing agent trust for contradictory evidence by means of fuzzy voting model: An ontology mapping case study

作者：

Highlights：

• We introduce a novel trust assessment formalism for multi-agent ontology mapping.

• We define a fuzzy voting model to eliminate contradicting evidence.

• We define fuzzy variables to represent trust in mapping agents’s belief.

• We present a case study based on benchmark mapping tasks.

• Compared to simple belief combination 12% improvement of recall was achieved.

• Compared to simple belief combination 16% improvement of precision was achieved.

摘要

•We introduce a novel trust assessment formalism for multi-agent ontology mapping.•We define a fuzzy voting model to eliminate contradicting evidence.•We define fuzzy variables to represent trust in mapping agents’s belief.•We present a case study based on benchmark mapping tasks.•Compared to simple belief combination 12% improvement of recall was achieved.•Compared to simple belief combination 16% improvement of precision was achieved.

论文关键词：Ontology mapping,Semantic Web,Multi-agent systems,Uncertain reasoning

论文评审过程：Available online 5 November 2013.

论文官网地址：https://doi.org/10.1016/j.chb.2013.10.032