SEMLEX-A Framework for Visually Exploring Semantic Query Log Analysis
Suvodeep Mazumdar, Khadija M. Elbedweihy, Amparo Elizabeth Cano, Stuart N. Wrigley, Fabio Ciravegna · SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) · 2011
Abstract. With organisations, local bodies and governments now releasing large amounts of linked data, there is a great opportunity for users and software agents to look for structured information, serving their information needs. Query logs, preserving such information needs can be harvested to understand what linked data consumers are looking for. Though statistical analysis of such query logs have been employed over the years to improve performance, visualising such analyses can provide a different way of exploration that could be invaluable to researchers, developers and linked data providers for discovering hidden trends and patterns. This paper presents our approach to analyse query logs and introduces SEMLEX, a tool that facilitates visual exploration of semantic query log analysis.