Semantically Guided, Situation-Aware Literature Research

Searching literature in bibliographic portals is often a trial and error process, consisting of manually and repeatedly firing search requests. This paper presents an automatic guidance system that supports users in their literature research with a stepwise refinement process, based on their needs. Algorithms operate on various different data sets, including valuable world knowledge in form of Linked Open Data, which is streamlined and indexed by a Semantic Extraction, Transform and Load process. Search results are composed dynamically and are visualized in an innovative way as a topic wheel. In this paper, we describe the prototype of this system and our current work in progress, including first user evaluations.