基于本体的人物关系一致性检测方法研究

摘要

In the era of big data, interpersonal relationships play an important role in some management deci-sion-making processes. However, it is impossible for a human to analyze a complex interpersonal relationship net-work promptly. Therefore, this paper proposes an ontology-based method to detect the consistency of interpersonal relationships automatically. This method first builds an interpersonal relationship ontology using the existing inter-personal relationship data. It then detects and modifies the existing data by checking the correctness of the built on-tology. Using an ontology inference engine and some self-defined rules, it detects the consistency of the newly added interpersonal relationship data to examine whether the new data is consistent with the existing data. Experiments show that the proposed method can reason interpersonal relationships deterministically, discover undefined relation-ships, and detect the consistency of interpersonal relationships automatically. This method has a good potential in supporting the management decision-making processes, which are based on interpersonal relationship reasoning.%人物关系是大数据时代下组织进行管理决策的重要依据之一,而人物关系网络天然的复杂性使决策者无法人工快速处理.为支持人物关系的自动推理,本文提出一种基于本体的人物关系一致性检测方法.该方法首先根据已有人物关系数据构建人物关系本体,通过检测该人物关系本体的正确性来修正已有人物关系数据,然后利用本体推理引擎与自定义规则对后续新增加的人物关系数据进行检测,通过判断新数据是否与已有人物关系本体存在不一致来检查新数据的正确性.实验证明,本文方法能够有效地实现人物关系的确定性推理,隐含关系的发现以及人物关系一致性的自动检测,从而支持基于人物关系推理的管理决策.