Organisers: Georgia Koutrika (Athena Research Center), Kurt Stockinger (ZHAW)
Data growth and availability as well as data democratization have radically changed data exploration. Many different data sets, generated by users, systems and sensors, are continuously being collected. These data sets contain information about scientific experiments, health, energy, education etc., and they are highly heterogeneous in nature, ranging from highly structured data in tabular form to unstructured text, images or videos. While the benefit of data exploration becomes increasingly more prominent, the limitations of existing tools make accessing and combining data from different data sources a non-trivial, time-consuming, and often fruitless endeavor. In this round table, we will discuss about what it takes to bridge the gap between users and data, and the new generation of intelligent data exploration tools that are emerging at the intersection of data management, natural language processing, machine learning and visualization.