Identifying information needs by modelling collective query patterns
Khadija M. Elbedweihy, Suvodeep Mazumdar, Amparo Elizabeth Cano, Stuart N. Wrigley, Fabio Ciravegna · SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) · 2011
Abstract. With individuals, organisations and Governments releasing large amounts of linked data, users have now access to an immense repository of highly structured data, ready to be queried and reasoned upon. However, it is important at this stage to ask questions like What do Linked Data users look for and how do they search for information? Understanding the information needs of users accessing such data could be invaluable to researchers, developers and linked data providers and consumers. In this paper, we present an approach to formalise query log analysis and how we consume such analysis. We present SEMLEX, a visualisation interface that facilitates exploration of user’s information needs by analysing queries issued to a public dataset.