Abstract:A new integrated conflict resolution algorithm is proposed for the research on the conflict resolution of distributed large data integration in existing relational databases. According to the integration process of distributed large data in relational database, conflicts are classified and classified into semantic conflict, model conflict and instance conflict. Aiming at semantic conflict, conflict resolution is realized by syntax fusion, logical tree fusion and frequency fusion. The properties of schema data and instance data in relational databases are described by attribute directed graphs. From the relational analysis of attribute relation to the conflict of distributed large data integration, the importance of attribute relation is quantified by the weight value of relation. The weight of all relations and the importance of the directed graph for all attributes are described by means of directed graphs. Based on the analysis of the conflict number and the weight, the cost function is defined, and the detailed process of distributed data integration and conflict resolution in relational database is given. Experimental results show that the proposed algorithm has high performance in conflict recognition and resolution.