Consistency Detection Of Interpersonal Relationship:an Ontology-based Reasoning Method

In the era of big data,many organizations expect to upgrade organizational decision-making efficiency and improve the quality of related business by mining and analyzing accumulated data.And interpersonal relationships also play an important role in some management decision-making processes.But it is impossible for a human to analyze a complex interpersonal relationship network promptly.Hence,a practical question many organizations faced are that how to use the computer to infer interpersonal relationships automatically and examine whether there is a logical conflict between the stored interpersonal relationships.For support the automatic reasoning between multiple people and the correctness of the stored interpersonal relationship data,this thesis proposes an ontology-based reasoning method to detect the consistency of interpersonal relationships.The main contents of this article include the following three parts:(1)The research of the construction of interpersonal relationship ontology.First,based on the actual needs and interpersonal characters,building interpersonal relationship ontology using the existing interpersonal relationship data by Protege,to provide ontology model for detecting the consistency of the newly added interpersonal relationship data using ontology reasoning method.Then,defining some interpersonal relationship rules using a design method of Jena rule,to provide basis of logic judge for detecting the consistency of the newly interpersonal relationship data.(2)The research of checking the correctness of the build ontology.Checking whether interpersonal relationship ontology conforms to the logic basis of OWL using Pellet,this achieves a semantic consistency detection of domain ontology.Then,using Jena to verify whether there is a logical conflict between role assertions of the build ontology,this ensures the consistency of user self-defined.Finally,constantly modifying the existing data until we get a correct ontology,to provides a correct guarantee for the subsequent consistency detection of newly interpersonal relationships.(3)The research of consistency detection of newly interpersonal relationships.Developing a method to detect the consistency of newly interpersonal relationship ontology.This method first represents newly added interpersonal relationship data using ontology language OWL.Using an ontology inference engine and some self-defined rules,it then detects the consistency of the newly added interpersonal relationship data to examine whether the new data is consistent with the existing data.Finally,using two sets of data to verify the feasibility and effectiveness of the method.In conclusion,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.This thesis first uses ontology method to represent domain knowledge and ensures the consistency of domain knowledge,then uses an ontology-based reasoning method to achieve the automatic reasoning of domain knowledge.It boosts the research of automatic reasoning of interpersonal relationship,and can be used in financial field,social network,population management and so on,which has certain theoretical guidance meaning and practical reference value.