Healthcare related queries are a treasure trove of information about the information needs of domain users, be they patients or doctors. However, unlike general queries, in order to make the most out of the information therein, such queries have to be processed within a medical terminology annotation pipeline. We show how this has been done in the context of the KConnect project and demonstrate an interactive query log exploration interface that allows data analysts and search engineers to better understand their users and design a better search experience.
['Alexandras Bampoulidis', 'Mihai Lupu', 'João R. M. Palotti', 'Sokratis Metallidis', 'Jon Brassey', 'Allan Hanbury']
Interactive exploration of healthcare queries