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| Consistency Detection of Interpersonal Relationship:an Ontology-based Method |
| Yu Juan1, Shi Wenjie1, Zhu Zhengxiang2 |
1. School of Economics and Management, Fuzhou University, Fuzhou 350116;
2. Suning Consumer Finance Co., Nanjing 231000 |
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Abstract In the era of big data, interpersonal relationships play an important role in some management decision-making processes. However, it is impossible for a human to analyze a complex interpersonal relationship network 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 interpersonal relationship data. It then detects and modifies the existing data by checking the correctness of the built ontology. 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 relationships, 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.
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Received: 18 April 2017
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