Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models
作者：
Highlights：
• A reconciliation process for a network of data models with integrity constraints.
• A wide range of integrity constraints is handled for different data models.
• The computation of proposed probabilistic model is scalable.
• The proposed expert guidance saves about half of effort budgets.
• The proposed instantiation technique increases quality up to 20%.
摘要
•A reconciliation process for a network of data models with integrity constraints.•A wide range of integrity constraints is handled for different data models.•The computation of proposed probabilistic model is scalable.•The proposed expert guidance saves about half of effort budgets.•The proposed instantiation technique increases quality up to 20%.
论文关键词：Data integration,Probabilistic constraints,Model reconciliation
论文评审过程：Received 17 June 2018, Revised 24 March 2019, Accepted 1 April 2019, Available online 5 April 2019, Version of Record 10 April 2019.
论文官网地址：https://doi.org/10.1016/j.is.2019.04.002
