Biomedical publication knowledge acquisition, processing and dissemination with CORAAL

Abstract

The paper presents CORAAL, a novel solution for life science publication search that exploits knowledge locked within unstructured publication texts (apart of possessing the traditional full text functionalities). In contrast to most related state of the art solutions, CORAAL integrally addresses acquisition (i.e., extraction), processing (i.e., integration and extension) and dissemination (i.e., convenient exposure) of the publication knowledge. After detailing the motivations of our research, we outline the representation and processing framework that allows CORAAL to tackle the rather noisy and sparse automatically extracted knowledge. The architecture and core features of the CORAAL prototype itself are described then. Most importantly, we report on an extensive evaluation of the CORAAL tool performed with an assistance of actual sample users. The evaluation illustrates the practical benefits brought by our solution already in the early research prototype stage. © 2010 Springer-Verlag.