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Conference Papers Year : 2015

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.
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Dates and versions

hal-01217024 , version 1 (25-10-2015)

Identifiers

  • HAL Id : hal-01217024 , version 1

Cite

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. pp.75-80. ⟨hal-01217024⟩

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