Mining the bibliome

Abstract

Biomedical literature offers a systematic catalogue of interpretations about data that can be used to infer new knowledge. The analysis of this literature (referred to in this chapter as the “bibliome”) in light of the exponential growth of biomedical data necessitates methodologies to transform data into knowledge. Such techniques are wrought with challenges, but offer some promise for transforming the big data deluge into novel hypotheses that can lead to new knowledge. This chapter provides an overview of the knowledge discovery process in the context of biomedical literature, and explains how such a process (referred to as “bibliome mining”) can be seen as an integral part of a learning healthcare system.