Making sense of massive amounts of scientific publications: the scientific knowledge miner project

Ronzano, Francesco; Freire, Ana; Sáez-Trumper, Diego; Saggion, Horacio

Making sense of massive amounts of scientific publications: the scientific knowledge miner project

Citation

Ronzano F, Freire A, Saez-Trumper D, Saggion H. Making sense of massive amounts of scientific publications: the scientific knowledge miner project. In: Cabanac G, Chandrasekaran MK, Frommholz I, Jaidka K, Kan M, Mayr P, Wolfram D, editors. Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL); 2016 June 23; Newark, United States. [place unknown]: CEUR Workshop Proceedings; 2016. p. 36-41.

Abstract

The World Wide Web has become the hugest repository ever for scientific publications and it continues to increase at an unprecedented rate. Nevertheless, this information overload makes the exploration of this content a very time-consuming task. In this landscape, the availability of text mining tools to characterize and explore distinctive features of the scientific literature is mandatory./nWe present the Scientific Knowledge Miner (SKM) Project, that aims to investigate new approaches and frameworks to facilitate the extraction of knowledge from scientific publications across different disciplines. More specifically, we will focus on citation characterization, recommendation and scientific document summarization.