At the University of Torino, funded by Compagnia di San Paolo
Call: Addressing Horizon 2020
Submitted in 2014, Funded in 2015.
Duration: 2 years

MIMOSA: Ontolgy-driven query system for the heterogeneous data of a SmArtcity

Research team:
Maria Luisa Sapino (PI)
Liliana Ardissono  (co-PI)
Maurizio Lucenteforte (co-PI)
Ruggero Pensa (co-PI)

Description

	“Mappe di Comunità 3.0” (Community Maps 3.0) is a participatory GIS prototype platform enabling communities of interests, governments and generic people to interact with multi-dimensional information spaces for retrieving and uploading geo-referenced information distributed in existing data sources as well as to discuss about the shared contents. 
MIMOSA aims at extending “Mappe di Comunità 3.0” with advanced information search facilities in order to enable people to interact with the 3D Community Map and to select the content to be visualized by using a clear and dynamic user interface. We will design and develop a proof of concept semantic engine that will exploit a multimodal domain ontology enabling the expression of the heterogeneous semantic contents related to the application domains, as well as the summaries of the multimediadata and external sources of information, to improve  the users’ experience in browsing and searching data. A key component of the semantic engine will be a personalization module, which will combine the available integrated open data, the domain ontology and available private information characterizing users’ profiles and users’ interaction histories in order to manage a personalized shared information space.