In the past few decades, we saw a proliferation of scientific articles available online. This data-rich environment offers several opportunities but also challenges, since it is problematic to explore these resources and identify all the relevant content. Hence, it is crucial that they are appropriately annotated with their relevant concepts so to increase their chance of being properly indexed and retrieved. In this paper, we present R-Classify, a web tool that assists users in identifying the most relevant concepts according to a large-scale ontology of research areas in the field of Computer Science.
Aggarwal, T., Salatino, A., Osborne, F., Motta, E. (2022). R-classify: Extracting research papers’ relevant concepts from a controlled vocabulary. SOFTWARE IMPACTS, 14(December 2022) [10.1016/j.simpa.2022.100444].
R-classify: Extracting research papers’ relevant concepts from a controlled vocabulary
Osborne F.;
2022
Abstract
In the past few decades, we saw a proliferation of scientific articles available online. This data-rich environment offers several opportunities but also challenges, since it is problematic to explore these resources and identify all the relevant content. Hence, it is crucial that they are appropriately annotated with their relevant concepts so to increase their chance of being properly indexed and retrieved. In this paper, we present R-Classify, a web tool that assists users in identifying the most relevant concepts according to a large-scale ontology of research areas in the field of Computer Science.
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Aggarwal-2022-Software Impacts-VoR.pdf
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