Congratulations to Angelo Salatino for succeeding in his viva! On 31st May 2019, Angelo Salatino successfully defended his PhD thesis on Early Detection of Research Trends. The thesis is a body of research work over the last three years leading to a successful system that identifies the emergence of new research topics up to two […]
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.
On the 29th November 2017, the SKM3 team attended the second edition of SpringerNature HackDay in London (@ SpringerNature Campus). Aliaksandr Birukou, Executive Editor of Computer Science at Springer Nature and collaborator of our research team at the Knowledge Media Institute, also joined Andrea, Thiviyan and Angelo on the HackDay. The whole event aimed at joining together the […]
Smart Topic Miner (STM) is a web application which uses Semantic Web technologies to classify scholarly publications on the basis of Computer Science Ontology (CSO), a very large automatically generated ontology of research areas. STM was developed to support the Springer Nature Computer Science editorial team in classifying proceedings in the LNCS family. It analyses […]
The Rexplore team and Springer Nature have launched a new research project with the aim of developing new innovative solutions to support business processes in Springer Nature. This new initiative builds on our previous collaborations which focus on two research directions. The first one is Smart Topic Miner, a web application which uses semantic web […]
Last week Francesco Osborne attended the 15th edition of the International Semantic Web Conference (ISWC 2016) where he presented our work on the Smart Topic Miner (STM), the innovative application developed in collaboration with Springer Nature for automatically classifying research publications. STM was designed to classify proceedings and more in general any collection of articles […]
The process of classifying scholarly outputs is crucial to ensure timely access to knowledge. This process is typically carried out manually by expert editors, leading to high costs and slow throughput. For these reasons, the Rexplore team, in collaboration with Springer Nature, created Smart Topic Miner (STM), a novel solution which uses semantic web technologies […]