Title
Categorization and Matching for Drone-based Services.
Abstract
The exchange of supply and demand in drone-based services would benefit from the shared use of an online platform. Such a platform would need to offer two important opportunities. One is to share the service with other users, and the other is to receive offers from all providers interacting on the platform, who optimize their investments by sharing their own resources and technologies. The purpose of this position paper is to propose a categorization and matching algorithm on which to base this platform. The platform will aim to facilitate the sharing of services provided through the use of drones. The algorithm will match demand and offer, and will evolve through the use and the application of all participants (operators, users, lenders of shared resources). The platform, currently in development, could be the first web-based system in Europe to offer this model.
Year
DOI
Venue
2016
10.5220/0006070002230227
KMIS
Keywords
Field
DocType
Knowledge Management, Taxonomy, Folksonomy, Categorization of Resources, Matching, Drones
Data mining,Categorization,World Wide Web,Computer science,Position paper,Knowledge management,Folksonomy,Drone,Operator (computer programming),Supply and demand,Blossom algorithm
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Simona Ibba153.35
Filippo Eros Pani297.04
Alberto buschettu300.34