CityLABS celebrates the launch of a “new to the market” feature on the Eduvocation platform www.mynewterm.org dedicated to job advertising and brokering in education. From their website: “MyNewTerm is the leading jobs platform for all teaching jobs, school support vacancies and education roles across Central Bedfordshire, Luton and Bedford.“ The CityLABS team supported Eduvocation on […]
The ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018) took place last week in Fort Worth (Texas). Angelo attended the conference to discuss his recent advances showed in the research paper “AUGUR: Forecasting the Emergence of New Research Topics”. In brief, Augur is a framework analysing the diachronic relationships between research areas and […]
The SKM3 team, the KMi research group on scholarly analytics, will present three full papers at the 2018 International Semantic Web Conference (ISWC), the premiere international venue for the Semantic Web and Linked Data communities, which will be held in October in Monterey, California. The SKM3 team succeeded in having a paper accepted in each […]
On 26-27 April 2018, Angelo and Francesco attended the third edition of the Springer Nature Hack Day, which was held in its headquarter in Berlin. The Springer Nature Hack Day is an event that allows researchers, developers, tech companies, and Springer Nature itself, to gather together and tackle current research issues. Offering also opportunities for potential […]
The SKM³ team is proud to announce that the paper “Geographical trends in research: a preliminary analysis on authors’ affiliations” presented by Andrea at the workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Dissemination (SAVE-SD) held at The Web Conference 2018 in Lyon has been awarded the Best Paper Award. We thank the organising committee and Springer […]
The first CityLabs Technical workshop – Developing IoT solutions with the SigFox Network – organised with the collaboration of WND UK, took place the 30th and 31st of January at the Knowledge Media Institute of The Open University. Places in the KMi Podium were fully occupied for this two-day workshop centred on understanding how to […]
The Computer Science Ontology (CSO) is a large-scale ontology of research areas that was automatically generated using the Klink-2 algorithm [1] on the Rexplore dataset [2], which consists of about 16 million publications, mainly in the field of Computer Science. The Klink-2 algorithm combines semantic technologies, machine learning, and knowledge from external sources to automatically […]
The Technology-Topic Framework (TTF) is a novel approach which uses a semantically enhanced technology-topic model to forecast the propagation of technologies to research areas. TTF characterizes technologies in terms of a set of topics drawn from a large-scale ontology of research areas over a given time period and applies machine learning on these data to forecast […]
Augur is a novel approach to the early detection of research topics. Augur analyses the diachronic relationships between research areas and is able to detect clusters of topics that exhibit dynamics correlated with the emergence of new research topics. Augur operates in three steps. First, it creates evolutionary networks describing the collaboration between research topics over […]
Couple of months ago, the SKM3 attended the Springer Nature HackDay (here is the post). Just not long ago, Springer Nature released a short video featuring us. Summarised is also Angelo’s interview, in which he discusses the advantages of making scholarly datasets, as SciGraph, available to the public.
Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and Robotics
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