The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas

“The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas” is a journal paper submitted to the Special Issue on Best Resources papers of the Data Intelligence Jornal (MIT Press). Authors Angelo A. Salatino1, Thiviyan Thanapalasingam1, Andrea Mannocci1, Aliaksandr Birukou2, Francesco Osborne1, Enrico Motta1 1 Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK 2 […]

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The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles

Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of research areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods.

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CSO Classifier

Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this page, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according […]

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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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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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The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas

“The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas” is a paper submitted to the International Semantic Web Conference (ISWC) 2018 , 8-12 October 2018, Monterey, California, USA, 2018. Authors Angelo A. Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, Enrico Motta Abstract Ontologies of research areas are important tools for characterising, exploring, and analysing the research […]

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