Effective Entity Augmentation By Querying External Data Sources
Users often need to integrate information from multiple data sources. This paper proposes autonomous systems that progressively discover and integrate relevant information from multiple data sources while requiring minimal expert intervention. The proposed systems leverage end users’ feedback to learn how to retrieve information relevant to each entity in a dataset from external data sources. Our empirical evaluation shows that our approach learns accurate strategies for delivering relevant information quickly.