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
All research articles begin with a title. Most include an abstract. Several include keywords. All th...
�� 2020 The Authors. Published by Springer. This is an open access article available under a Creativ...
Being able to characterise research papers according to their topics enables a multitude of high-lev...
Ontologies of research areas are important tools for characterising, exploring and analysing the res...
Classifying research papers according to their research topics is an important task to improve their...
Classifying scientific articles, patents, and other documents according to the relevant research top...
In recent years we have seen the emergence of a variety of scholarly datasets. Typically these captu...
Ontologies of research areas are important tools for characterising, exploring and analysing the res...
Ontologies of research areas are important tools for characterising, exploring, and analysing the re...
This paper is based on an analytical study of 335 keywords extracted from titles and abstracts of 70...
Ontologies of research areas are important tools for characterising, exploring, and analysing the re...
In an academic paper search, particularly a search to confirm the originality of a us-er’s research ...
We examine the novel task of domain-independent scientific concept extraction from abstracts of scho...
Academic publishers, such as Springer Nature, annotate scholarly products with the appropriate resea...
The natural language processing (NLP) community has developed a variety of methods for extracting an...
All research articles begin with a title. Most include an abstract. Several include keywords. All th...
�� 2020 The Authors. Published by Springer. This is an open access article available under a Creativ...
Being able to characterise research papers according to their topics enables a multitude of high-lev...
Ontologies of research areas are important tools for characterising, exploring and analysing the res...
Classifying research papers according to their research topics is an important task to improve their...
Classifying scientific articles, patents, and other documents according to the relevant research top...
In recent years we have seen the emergence of a variety of scholarly datasets. Typically these captu...
Ontologies of research areas are important tools for characterising, exploring and analysing the res...
Ontologies of research areas are important tools for characterising, exploring, and analysing the re...
This paper is based on an analytical study of 335 keywords extracted from titles and abstracts of 70...
Ontologies of research areas are important tools for characterising, exploring, and analysing the re...
In an academic paper search, particularly a search to confirm the originality of a us-er’s research ...
We examine the novel task of domain-independent scientific concept extraction from abstracts of scho...
Academic publishers, such as Springer Nature, annotate scholarly products with the appropriate resea...
The natural language processing (NLP) community has developed a variety of methods for extracting an...
All research articles begin with a title. Most include an abstract. Several include keywords. All th...
�� 2020 The Authors. Published by Springer. This is an open access article available under a Creativ...
Being able to characterise research papers according to their topics enables a multitude of high-lev...