Just-in-time data integration in action

Today's data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sources. In this work we present a novel data integration system that offers great flexibility and scalability. Our approach to data integration is unique in that it executes mapping rules at query runtime using annotations. On top, we have built the People People People application. It allows users to search for people, display information about people, and browse through a network of related people, where the data is integrated from local and remote data sources. The demo presents all features of our underlying data integration engine through a set of motivating scenarios. © 2010 VLDB Endowment.