On 31st May 2019, I defended my thesis on the “Early Detection of Research Trends”. The exam panel consisted of Dr Pallavi Anand from the Open University as chair, and two external examiners Prof Kalina Bontcheva from the University of Sheffield, and Prof Alun Preece from Cardiff University. Further Link Early Detection of Research Trends Media […]
Author: angelosalatino
New release: CSO Classifier v2.1
We are pleased to announce that we recently created a new release of the CSO Classifier (v2.1), an application for automatically classifying research papers according to the Computer Science Ontology (CSO). Recently, we have been intensively working on improving its scalability, removing all its bottlenecks and making sure it could be run on large corpus. […]
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 […]
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 […]
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, […]
The Open University and Springer Nature launch the Computer Science Ontology
The new ontology portal is the largest taxonomy of research topics in computer science available to date Springer Nature and the Knowledge Media Institute (KMi) of The Open University are partnering to provide a comprehensive Computer Science Ontology (CSO) to a broad range of communities engaged with scholarly data. CSO can be accessed free of […]
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 […]
28 Nov 2018: Dissertation submitted
Today it was the day that every PhD student waits for: thesis submission day. I finally managed to make all the corrections suggested by my supervisors and after printing it, I went to the Research Degrees Office to leave my copies. Now I feel like something is missing but life goes on. I am already […]
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 […]
Springer Nature Video of Berlin’s Hack Day
Last April, with my team, we attended the Springer Nature HackDay in Berlin (here is the post). Recently, Springer Nature released a short video featuring us. Summarised is also my interview, in which I discuss my research project and why we think SciGraph is important for those who work in the field of Science of Science. […]