Entity Alignment in the Construction of Knowledge Graphs for Civilian Transportation Equipment

Knowledge graphs (KGs) have provided a better approach to organize and manage multi-source knowledge in the field of civilian transportation equipment. However, due to the existence of isolated data islands, there are still problems such as unidentified attribute relations in the KGs for civilian transportation equipment. An effective solution to these problems can be achieved through entity alignment. In this paper, we propose two entity alignment strategies for different purposes. Specifically, aiming at the incompleteness of single-source knowledge in the construction of KGs for civilian transportation equipment, we employ an instance alignment strategy to enable multi-source fusion of attribute relationships. In addition, aiming at the inconsistency between different attribute values of the same entity, we propose a conflict resolution strategy based on multi-source data quality assessment, and achieve the unity of attribute values. Compared with previous KGs, our proposed entity alignment method is able to moderately enrich the attribute relations in KGs for civilian transportation equipment.