Network Science

Invited Talk – AUGUR: Forecasting the Emergence of New Research Topics

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On 30th Jul 2018, I have been invited from Dasha Herrmannova, former PhD student at the KMi, to give a talk at the “Machine Learning and Graph Mining for Big Scholarly Data” workshop organised for the Computational Data Analytics Group at Oak Ridge National Laboratory (ORNL). In this talk, named “AUGUR: Forecasting the Emergence of New … Read more

Springer Nature Hack Day – Berlin

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On 26-27 April 2018, Francesco Osborne and I 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 collaborations and networking.

This was my second time attending a hack day organised by Springer Nature. Indeed, with my colleagues Andrea Mannocci and Thiviyan Thanapalasingam, we attended the previous edition, back in November 2017, working on a Venue-centric trends project (read full story here). An extended version of this project has then been presented at the SAVE-SD workshop co-located with The Web Conference 2018 [1].

 

In this edition, the participants pitched six different ideas and projects, centred around “analytics and metrics to measure the impact of science”, such as: Disease Dashboard, Hot Topics (our project), Keyword Recommendation, Data mining for historians, Search-Assist, and Semantic Entity Marker. More information about the whole event can be found in this Springer Nature blog post.

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AUGUR: Forecasting the Emergence of New Research Topics

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“AUGUR: Forecasting the Emergence of New Research Topics” is a paper submitted to the ACM/IEEE Joint Conference on Digital Libraries 2018, presented on June 5 2018, in Fort Worth, TX, USA   Angelo Salatino, Francesco Osborne and Enrico Motta   Abstract Being able to rapidly recognise new research trends is strategic for many stakeholders, including universities, … Read more

Computer Science Ontology Portal (or simply CSO Portal)

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The Computer Science Ontology Portal (also referred to simply as CSO Portal) is a web application that enables users to download, explore, and provide granular feedback on CSO at different levels. This last feature allows us to periodically review the status ontology and release new version according to the received feedbacks.

Springer Nature video

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Couple of months ago, with my team, we attended the Springer Nature HackDay (here is the post). Just not long ago, Springer Nature released a short video featuring us. Summarised is also my interview, in which I discuss the advantages of making scholarly datasets, as SciGraph, available to anyone.

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SpringerNature Hackday – London

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On the 29th November 2017, myself with two KMi colleagues (Andrea Mannocci and Thiviyan Thanapalasingam) 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 skills and interests of many developers and researchers with SciGraph, for advancing discovery.

The main web page for the event is here: https://github.com/SN-HackDay/Advancing-discovery-with-research-data (or here in case someone removes it).

As a team, we worked on Venue-centric trends problem. In particular, our projects provides to editors, conference organizers and many others, a dashboard to understand how knowledge flows across countries and continents, who are the main producers and consumers of the research output for a given conference, whether the conference is open to interdisciplinarity, and many other questions.

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Early Detection of Research Trends

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Being able to rapidly recognise new research trends is strategic for many stakeholders, including universities, institutional funding bodies, academic publishers and companies. The literature presents several approaches to identifying the emergence of new research topics, which rely on the assumption that the topic is already exhibiting a certain degree of popularity and consistently referred to by a community of researchers. However, detecting the emergence of a new research area at an embryonic stage, i.e., before the topic has been consistently labelled by a community of researchers and associated with a number of publications, is still an open challenge.