Making sense of massive amounts of scientific publications: the scientific knowledge miner project
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- dc.contributor.author Ronzano, Francescoca
- dc.contributor.author Freire, Anaca
- dc.contributor.author Sáez-Trumper, Diegoca
- dc.contributor.author Saggion, Horacioca
- dc.date.accessioned 2016-06-28T09:49:12Z
- dc.date.available 2016-06-28T09:49:12Z
- dc.date.issued 2016ca
- dc.description.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.
- dc.description.sponsorship This work is supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), by the European Project Dr. Inventor (FP7-ICT-2013.8.1 - Grant: 611383), the Catalonia Trade and Investment Agency (Agència per la competitivitat de l’empresa, ACCIÓ) and the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE).
- dc.format.mimetype application/pdfca
- dc.identifier.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.ca
- dc.identifier.issn 1613-0073ca
- dc.identifier.uri http://hdl.handle.net/10230/26969
- dc.language.iso engca
- dc.publisher CEUR Workshop Proceedingsca
- dc.relation.ispartof 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.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/611383ca
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
- dc.rights Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.subject.keyword Text mining
- dc.subject.keyword Information extraction
- dc.subject.keyword Recommender systems
- dc.subject.keyword Indexing
- dc.subject.keyword Crawling
- dc.subject.keyword Online resources
- dc.title Making sense of massive amounts of scientific publications: the scientific knowledge miner projectca
- dc.type info:eu-repo/semantics/conferenceObjectca
- dc.type.version info:eu-repo/semantics/publishedVersionca