Knowledge graph construction method based on multiple data sources
To improve the application of multi-source data fusion, this study constructs a knowledge graph-based data fusion model. This model firstly constructed corresponding domain ontology for each special field, and then consolidated all domain ontology into a global ontology. After that, it retrieved and fused knowledge from the global ontology by entity alignment and linking methods. At last it built an application platform of knowledge graph with friendly interfaces to execute query and statistics, etc. Besides that, this model improved the result of entity aligning by adopting traditional similarity detec-tion approach. And experiment results also demonstrated its good prediction accuracy by proposing a constraint based embedding model in entity linking process.
国家科技期刊平台
NSTL
万方数据
维普
