2100 AI: Reflections on the mechanisation of scientific discovery

“2100 AI: Reflections on the mechanisation of scientific discovery” is a paper submitted to the RE-CODING BLACK MIRROR Workshop co-located with the International Semantic Web Conference (ISWC) 2017, 21-25 October 2017, Vienna, Austria. Authors Andrea Mannocci, Angelo Salatino, Francesco Osborne and Enrico Motta Abstract The pace of nowadays research is hectic. Datasets and papers are […]

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Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products

“Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products” is a poster paper that will be presented at the International Semantic Web Conference (ISWC) 2017, 21-25 October 2017, Vienna, Austria. Authors Francesco Osborne, Thiviyan Thanapalasingam, Angelo Salatino, Aliaksandr Birukou and Enrico Motta Abstract Academic publishers, such as Springer Nature, need to constantly make informed decisions […]

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Book Review: Weapons of Math Destruction of Cathy O’Neil

Everyday activities are more and more shifting to a digital environment. Digital gadgets such as smartphones and werable devices are becoming inseparable part of our lives promising mostly convenience. New digital technologies have been mainly seen as empowering technologies for the users. FitBit, for example, is claimed to be a motivating device to lead a […]

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Early Detection of Research Trends

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.

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3MT – Early detection of research trends

On 16th May 2017, the STEM Faculty of my university organised a 3 Minutes Thesis (3MT) in which each candidate has a time slot of three minutes to describe their thesis. The speech can be supported by one static slide showing important features of the work. I wish I had shown the one above. In […]

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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 […]

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BigDat2017: certificate of attendance

I have recently been attending in Bari (IT) a winter school about Big Data: BigDat2017. At the moment, Big Data is gaining great attention in research, since it allows to provide data-driven solutions in several contexts. As part of my postgraduate research I decided to attend it and follow the new developments in this field. […]

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BigDat2017: a review

This week I have been attending the 3rd edition of the Big Data winter school: BigDat2017. It was held in my former campus, at the University of Bari (IT). It was a really nice feeling to be back for a while, sitting on those benches and following courses, once again. Big Data has recently gained […]

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Department Research Seminar: Early Detection of Research Topics

On the 8th February I delivered a seminar to my department (KMi @ OU) in which I described the work I have been doing in the last two years for my postgraduate research. I started with a little bit of introduction about science. Shortly, I moved to the currently available technologies for keeping track of the […]

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