“Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors” is a peer-reviewed paper presented on Tuesday 22nd November 2016 at the “Entity detection, matching and evolution” session at the 20th International Conference on Knowledge Engineering and Knowledge Management, Bologna, Italy Authors: Amparo Elizabeth Cano-Basave, Francesco Osborne and Angelo Antonio Salatino Abstract: The […]
“Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies” is poster paper presented at the Poster and Demo session [D45] on Wednesday 19th October 2016 at the 15th International Semantic Web Conference in Kobe, Japan Authors: Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou and Enrico Motta Abstract: Academic publishers, such as Springer Nature, annotate scholarly products […]
“Automatic Classification of Springer Nature Proceedings with Smart Topic Miner” is conference paper presented on Friday 21st October 2016 at the 15th International Semantic Web Conference in Kobe, Japan Authors: Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou and Enrico Motta Abstract: The process of classifying scholarly outputs is crucial to ensure timely access to knowledge. However, this […]
Acknowledging new trends in the research environment is important for many stakeholders, such as researchers, institutional funding bodies, academic publishers, and companies. In particular, being able to identify them as soon as possible can bring an important strategical advantage. A trend is usually defined as the general direction in which something is evolving. It is […]
“Detection of Embryonic Research Topics by Analysing Semantic Topic Networks” is a workshop paper I presented at the SAVESD workshop held in conjunction with the World Wide Web Conference in 2016 in Montreal (CA). Angelo Antonio Salatino and Enrico Motta Abstract Being aware of new research topics is an important asset for anybody involved in […]
“Early Detection and Forecasting of Research Trends” is a paper presented at the Doctoral Consortium of the 14th International Semantic Web Conference (ISWC2015) in Bethlehem (PA, USA). Abstract Identifying and forecasting research trends is of critical importance for a variety of stakeholders, including researchers, academic publishers, institutional funding bodies, companies operating in the innovation space and others. […]
Authors: Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Giacomo Tattoli, Domenico Buongiorno, Domenico Signorile, Claudio Babiloni, Claudio Del Percio, Antonio Ivano Triggiani, Loreto Gesualdo Abstract: In this study, we compared several classifiers for the supervised distinction between normal elderly and Alzheimer’s disease individuals, based on resting state electroencephalographic markers, age, gender and education.
Authors: Mario Nicola Armenise, Vito Antonio Bevilacqua, Michele Bozzetti, Leonarda Carnimeo, Caterina Ciminelli, Marcello Di Marzo, Maria Grazia Dotoli, Maria Pia Fanti, Ivan Giannoccaro, Giuseppe Mastronardi, Michele Ottomanelli, Giulio Reina, Arcangelo Messina, Nicola Sasanelli, Lorenzo Abbatecola, Giuseppina Carlone, Massimiliano Dellisanti, Maripina De Palo, Filomena Innone, Angelo Antonio Salatino, Stefani Stipo, Teresa Tatoli, Marco Alessandris, […]
Authors: Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D’Ambruoso, Marco Suma, Donato Barone, Giacomo Tattoli, Domenico Campagna, Fabio Stroppa, Michele Pantaleo Abstract: In this paper we present the results of an experimental Italian research project finalized to support the classification process of the two behavioural status (resonance and dissonance) of a candidate applying for a job position.
Authors: Vitoantonio Bevilacqua, Pietro Guccione, Luigi Mascolo, Pasquale Pio Pazienza, Angelo Antonio Salatino, Michele Pantaleo. Abstract: Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Interaction. In this paper a SER system is developed with the aim of providing a classification of the “state of interest” of a human subject involved in a job […]