Tag Archives: scholarly data

Runner-Up at Springer Nature Hack Day in London

On the 29th November 2017, Angelo, Andrea and Thiviyan 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 our group on the HackDay. The whole event aimed at joining together the […]

Springer Nature HackDay

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 […]

How are topics born? Understanding the research dynamics preceding the emergence of new areas

“How are topics born? Understanding the research dynamics preceding the emergence of new areas” is a peer-reviewed paper submitted to PeerJ Computer Science. The paper has been submitted in July 2016 and accepted in May 2017. All the co-authors are thankful to the reviewers and the editor for providing insightful comments and thus improving the […]

Department Research Seminar: Early Detection of Research Topics

On the 8th February, Angelo delivered a seminar to the KMi in which he described the work he has been doing in the last two years for his postgraduate research. He started with a little bit of introduction about science. Shortly, he moved to the currently available technologies for keeping track of the development of the different […]

SAVE-SD 2017: a meeting point for the Scholarly Data Community

After the success of the past two editions, the third edition of the Semantics, Analytics, Visualisation: Enhancing Scholarly Data workshop (SAVE-SD) has been recently announced. SAVE-SD aims to bring together publishers, companies and researchers from different fields to bridge the gap between the theoretical and practical aspects in regards to scholarly data. The workshop was […]

Strong presence of the Rexplore team at EKAW 2016

Last week Francesco Osborne presented two research papers of our team at the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) in Bologna, Italy. The first one introduces TechMiner, a novel tool which combines NLP, machine learning and semantic technologies, for mining technologies from research publications and generating an OWL ontology describing […]

Smart Topic Miner shines at ISWC 2016

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 […]

Rexplore at ISWC 2015

Francesco Osborne attended the 14th edition of the prestigious International Semantic Web Conference where he presented the paper “Klink-2: Integrating Multiple Web Sources to Generate Semantic Topic Networks” in the highly selective research track. The paper introduced Klink-2, the new version of the Klink algorithm for the automatic generation of ontologies of research topics. Klink-2 […]

First Prize for Rexplore at ESWC Semantic Publishing Challenge

The groundbreaking Rexplore system for analysing scholarly data was awarded first prize, as Best Semantic Publishing Application, at the “Semantic Publishing Challenge”, which was held in the context of the 11th Extended Semantic Web Conference. Rexplore was chosen from a number of innovative Semantic Web applications by a jury comprising both researchers and commercial publishers. […]