Elastic Lists for Facet Browsing and Resource Analysis in the Enterprise

Information management and content governance in large corporations is an ongoing challenge. As a case study, we present the adaptation of the elastic lists facet browser for browsing and analysing large resource collections in an intranet of a large telecommunication corporation. The application allows users to explore resource aggregations over multiple classification schemata in parallel, enabling not only personalized information access, but also improved understanding of content distributions, as well as trend analysis and target tracking. We further present empirical usability results of a first prototype from questionnaires and eye tracking studies.