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

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dc.contributor.author Ronzano, Francesco
dc.contributor.author Freire, Ana
dc.contributor.author Sáez-Trumper, Diego
dc.contributor.author Saggion, Horacio
dc.date.accessioned 2016-06-28T09:49:12Z
dc.date.available 2016-06-28T09:49:12Z
dc.date.issued 2016
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.
dc.identifier.issn 1613-0073
dc.identifier.uri http://hdl.handle.net/10230/26969
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/pdf
dc.language.iso eng
dc.publisher CEUR Workshop Proceedings
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.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.
dc.title Making sense of massive amounts of scientific publications: the scientific knowledge miner project
dc.type info:eu-repo/semantics/conferenceObject
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.relation.projectID info:eu-repo/grantAgreement/EC/FP7/611383
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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