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 function-alities). In contrast to most related state of the art solutions, CORAAL integrally addresses acquisition (i.e., extraction), processing (i.e., integra-tion 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 CO-RAAL to tackle the rather noisy and sparse automatically extracted knowledge. The architecture and core features of the CORAAL proto-type itself are described then. Most importantly, we report on an ex-tensive 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.
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