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Títol:
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Making sense of massive amounts of scientific publications: the scientific knowledge miner project
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Autor/a:
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Ronzano, Francesco; Freire, Ana; Sáez-Trumper, Diego; Saggion, Horacio
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Abstract:
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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. |
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Abstract:
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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). |
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Matèries:
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-Text mining
-Information extraction
-Recommender systems
-Indexing
-Crawling
-Online resources |
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Drets:
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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.
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Tipus de document:
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Objecte de conferència
Article - Versió publicada |
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Publicat per:
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CEUR Workshop Proceedings
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Compartir:
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