Research on Entities Matching across Heterogeneous Databases

Entities matching plays a crucial role in integrating multiple data sources. However, the inconsistent data formats and limited data sharing across heterogeneous databases become the bottlenecks for data interoperability and integration. So it is urgent to conduct research on entities heterogeneity and entities matching across multiple heterogeneous databases. After analyzing the limitations of present approaches for entities matching, we propose a decision model in which the normal definition of entities matching was presented to identify the corresponding entities. Based on the decision model, the detailed entities matching algorithm is proposed accordingly. In the experimental section, the precision and recall are employed to evaluate the performance for entities matching. The experimental results on real-world data indicate that our proposed approach is highly effective on entities matching.