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The World Wide Web turns 30

I have always been passionate about technology. When I bought my first computer (special thanks to my father for funding it), and got it connected to the internet, it soon became part of my life: downloading movies, music, studying, chatting, engaging with different communities, writing a blog, buying and selling stuff. The web gave me […]

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Awesome Scholarly Data Analysis

Awesome Scholarly Data Analysis is a curated collection of resources that can support Scholarly Data analytics. This list ranges from: Datasets, which includes different corpora of papers, citations, authors and others, as well as taxonomies and ontologies of research concepts; Tools for collecting and classifying research papers, information extraction, and visualization; and Venues, Summer Schools, […]

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Computer Science Ontology

The Computer Science Ontology is a large-scale ontology of research areas that was automatically generated using the Klink-2 algorithm [1] on a dataset of about 16 million publications, mainly in the field of Computer Science. In the rest of the paper, we will refer to this corpus as the Rexplore dataset [2]. The current version of CSO […]

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Are citation networks really acyclic?

Simple answer: no. However, before getting into a more detailed answer, allow me to briefly introduce the concept of citation networks, then I will describe why citation networks cannot be considered acyclic anymore. In the scholarly domain, citation networks is an information network in which each node represents a scientific paper and a link between […]

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Classifying Research Papers with the Computer Science Ontology

“Classifying Research Papers with the Computer Science Ontology” is a demo paper submitted to the International Semantic Web Conference (ISWC) 2018 , 8-12 October 2018, Monterey, California, USA, 2018. Poster DOI. 10.21954/ou.rd.7204814 Poster paper PDF. http://oro.open.ac.uk/55908/ Code: Authors. Angelo A. Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, Enrico Motta Abstract. Ontologies of research areas are important tools for characterising, exploring […]

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