Towards an efficient knowledge-based publication data exploitation: An oncological literature search scenario

Abstract. In this report, we present a solution for robust scalable extraction and exploitation of knowledge from unstructured text. The robustness is achieved by an application of our novel light-weight, similarity-based knowledge representation framework and respective inference services. The scalability is ensured by the framework’s straightforward anytime implementation on the top of a relational database back-end. The potential of our work is exemplified within an oncological literature search scenario, which was motivated by and evaluated with domain experts.