Sergio Consoli

TL;DR: Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridizing natural language processing techniques and semantic Web technologies and on a formal model expressing the semantics of opinion sentences.

TL;DR: This work focuses on a recent Discrete Particle Swarm Optimization for combinatorial optimization, called Jumping Particle swarm Optimization, which effectiveness is illustrated on the minimum labelling Steiner tree problem: given an undirected labelled connected graph, the aim is to find a spanning tree covering a given subset of nodes, whose edges have the smallest number of distinct labels.

TL;DR: A comprehensive data model for smart cities that integrates several data sources, including, geo-referenced data, public transportation, urban fault reporting, road maintenance and municipal waste collection is presented.

TL;DR: A Greedy Randomized Adaptive Search Procedure (GRASP) and a Variable Neighbourhood Search (VNS) are proposed and nonparametric statistical tests show that the heuristics based on GRASP and VNS outperform the other algorithms tested.

TL;DR: This work describes the approach for creating a semantic platform for the Municipality of Catania, one of the main cities in Southern Italy, and describes the methodology used to extract data from sources, enrich them, building an ontology that describes them and publish them under the Linked Open Data paradigm.