AUGUR: Forecasting the Emergence of New Research Topics

“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 Authors Angelo Salatino, Francesco Osborne and Enrico Motta Abstract Being able to rapidly recognise new research trends is strategic for many stakeholders, including universities, institutional […]

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Smart Book Recommender

The Smart Book Recommender (SBR) is a semantic application designed to support the Springer Nature editorial team in promoting their publications at Computer Science venues. It takes as input the proceedings of a conference and suggests books, journals, and other conference proceedings that are likely to be relevant to the attendees of the conference in question. It […]

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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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Early Detection of Research Trends

This post aims to act as a hub for all the relevant information about my doctoral work. It will be constantly updated with new sources and developments. Abstract 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 […]

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Smart Topic Miner

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 […]

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