From context to query

Providers of scientific, cultural and educational resources face the problem that their content largely remains untapped in the so called long tail of the Web. Just-in-time retrieval is a viable way to increase the visibility of this long tail content. It has been shown to increase the amount of information viewed, by proactively retrieving information, based on a user's context and presenting results in an unobtrusive manner [6]. The main motivation for our work lies in the question on how to apply just-in-time information retrieval on long tail content in a web environment.