M
Michele Melchiori
Researcher at University of Brescia
Publications - 116
Citations - 1118
Michele Melchiori is an academic researcher from University of Brescia. The author has contributed to research in topics: Web API & Ontology (information science). The author has an hindex of 19, co-authored 114 publications receiving 1051 citations. Previous affiliations of Michele Melchiori include Brescia University.
Papers
More filters
Proceedings Article
Information Integration: The MOMIS Project Demonstration
Domenico Beneventano,Sonia Bergamaschi,Silvana Castano,Alberto Corni,Roberto Guidetti,G. Malvezzi,Michele Melchiori,Maurizio Vincini +7 more
TL;DR: HwJT + w9
{Yv {{Y wzzw Kx w u w?qYl[ K@ q[q
Journal ArticleDOI
Flexible Semantic-Based Service Matchmaking and Discovery
TL;DR: The aim in this work is to propose an ontology-based hybrid approach where different kinds of matchmaking strategies are combined together to provide an adaptive, flexible and efficient service discovery environment.
Journal ArticleDOI
A methodology and tool environment for process analysis and reengineering
TL;DR: The ARTEMIS methodology and associated tool environment have been conceived and applied in the framework of the PROGRESS research project and a reengineering case study of this project involving the Italian Ministry of Justice is reported on.
Journal ArticleDOI
PREFer: A prescription-based food recommender system
TL;DR: The PREFer food recommender system is presented, apt to provide users with personalized and healthy menus, taking into account both user's short/long-term preferences and medical prescriptions, and the use of prescription types associated with users' profiles to improve users' behaviour in selecting food.
Proceedings ArticleDOI
Semantic-Enriched Service Discovery
TL;DR: The aim in this work is to propose a semantic-enriched framework to describe services and an ontology-based hybrid approach where such framework is exploited combining together different kinds of comparison strategies to provide a flexible and efficient matchmaking between service descriptions.