Extracting data models from background knowledge graphs

作者：

Highlights：

• Heterogeneous data is challenging to integrate when several data models exist in the same domain.

• RICDaM is a framework for integrating heterogeneous data with domain knowledge graphs.

• RICDaM includes algorithms to improve precision, interoperability, and consistency.

• Experiments show the effectiveness and positive impact of these algorithms.

摘要

•Heterogeneous data is challenging to integrate when several data models exist in the same domain.•RICDaM is a framework for integrating heterogeneous data with domain knowledge graphs.•RICDaM includes algorithms to improve precision, interoperability, and consistency.•Experiments show the effectiveness and positive impact of these algorithms.

论文关键词：Knowledge graphs,Ontologies,Data modelling

论文评审过程：Received 5 May 2021, Revised 20 November 2021, Accepted 24 November 2021, Available online 7 December 2021, Version of Record 17 December 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107818