Title: The Socio-Technical Phenomena of Data Integration and Knowledge Graphs
Speaker: Juan Sequeda
Data Integration has been an active area of computer science research for over two decades. A modern manifestations is as Knowledge Graphs which integrates not just data but also knowledge at scale. Tasks such as schema and ontology matching are fundamental in the data integration process. Research focus has been on studying this phenomena from a technical point of view (algorithms and systems) with the ultimate goal of automating this task.
In the process of applying scientific results to real world enterprise data integration scenarios to design and build Knowledge Graphs from enterprise databases, we have experienced numerous obstacles. In this talk, I will share insights about these obstacles. I will argue that we need to think outside of a technical box and further study the phenomena of data integration with a human-centric lens: from a socio-technical point of view.