Scholarly Knowledge Modelling

News

Springer Nature HackDay Summary Video

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...

SAVE-SD 2018

After the great success of the past three editions, we are pleased to announce the SAVE-SD 2018 workshop. SAVE-SD aims to bring together publishers, companies and researchers from different fields (including Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, Human-Computer Interaction, Information Visualisation,...

Our paper is among the top 5 most read in its areas

Great news for our team! A paper authored by Angelo A. Salatino, Francesco Osborne and Enrico Motta, published last June to PeerJ Computer Science journal, was one of the top 5 most viewed in the areas of Artificial Intelligence, Data Science and Digital Libraries. The paper entitled "How are topics born? Understanding the research dynamics preceding the emergence of new areas" is a...

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 skills...

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 manuscript. Authors: Angelo Antonio...

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 research areas. He showed how this technologies were not...

The Rexplore team and Springer Nature launch a new collaboration

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 technologies to classify scholarly...

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 co-founded and...

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 by tagging...