Data Integration

Despite several advances both in academia and industry over the past decades, Data Integration (DI) seems to be a recurrent problem, exacerbated by the emergence and availability of tens of data sources that need to be integrated in order to address real problems. Rather than focusing on a one piece of work such as Entity Resolution, Deduplication, we are interested in building (Big) Data Integration pipelines for extracting data value from real end-to-end use case scenari pertaining to several application domains such as: IoT, Smart Cities, Transport and Logistics.