Automated paper annotation with ReaderBench

Abstract : The annotation of articles from a given domain and the generation of semantic metadata can be considered a reliable foundation for creating a paper recommender system. Within this paper, the models from other previous researches are extended with the capability of visualizing articles and the most important concepts from a domain within imposed timeframes. This can be very useful for researchers to check out the most important publications from a given period, to view which are the trends and how a domain has evolved. Our previous analyses used the articles to build a paper graph and to suggest the most relevant articles, given a user defined query in natural language. This research contains a use case and creates visual graph representations to enhance the overall perception of the evolution of a domain.
Type de document :
Communication dans un congrès
12-a Conferinta Nationala de Interactiune Om-Calculator (RoCHI 2015), Sep 2015, Bucharest, Romania. 12-a Conferinta Nationala de Interactiune Om-Calculator (RoCHI 2015), pp.75-80, 2015, 〈http://rochi2015.utcluj.ro/en/〉
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https://hal.archives-ouvertes.fr/hal-01217024
Contributeur : Philippe Dessus <>
Soumis le : dimanche 25 octobre 2015 - 07:14:35
Dernière modification le : jeudi 21 juin 2018 - 15:28:05
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  • HAL Id : hal-01217024, version 1

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Ionut Cristian Paraschiv, Mihai Dascalu, Ștefan Trăușan-Matu, Philippe Dessus. Automated paper annotation with ReaderBench. 12-a Conferinta Nationala de Interactiune Om-Calculator (RoCHI 2015), Sep 2015, Bucharest, Romania. 12-a Conferinta Nationala de Interactiune Om-Calculator (RoCHI 2015), pp.75-80, 2015, 〈http://rochi2015.utcluj.ro/en/〉. 〈hal-01217024〉

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