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 […]

Read More

Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors

“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 […]

Read More

Early Detection and Forecasting of Research Trends

“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. […]

Read More

SS-RR: Sviluppo di un Sistema di Rilevazione della Risonanza

Introduction The SS-RR project (Sviluppo di un Sistema per la Rilevazione della Risonanza, english: Development of a System for Resonance Detection) aims to develop methodologies exploiting current technologies in order to provide innovative services. In particular, the detection of harmony levels between one or more people in relation to external stimuli. For example, the measure of […]

Read More

Advanced Logistics for people and goods mobility: mathematical models and trials related to new protocols for mail delivery (LAMRECOR project)

  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, […]

Read More

Evaluation of Resonance in Staff Selection through Multimedia Contents

  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.

Read More

Design and Implementation of an innovative framework for Speech Emotion Recognition

[English] With this article I want to publish my thesis work in Human-Computer Interaction, for the Master’s Degree in Computer Systems Engineering at Polytechnic of Bari.  The entire thesis has been written in Italian. For this reason, I have prepared a English brief summary explaining all materials, methods, results and conclusions. Use the following link […]

Read More