One can gain invaluable insights by integrating and analyzing available data sources, such as traditional data systems, sensors, and social media. Data sources must also interact with each other to provide the information needed for many important queries and analyses. Unfortunately, different data sources express information in different forms. Humans also have their own ways of expressing their information and needs. Hence, humans and data sources cannot
communicate effectively and many valuable data sources and therefore insights remain out of our reach.
aims at designing systems that enable information sources and humans to automatically develop an effective mutual understanding and common language through interaction.
It views data sources and humans as rational agents who interact to reach a common language for expressing information. Check out our lightening talk
at ICDE 2018 for a short summary.