A Service for Matchmaking of Location-based Interests
Rodrigo Prestes

This work presents a matchmaking service (MMS) to enable meetings among 
co-localized people sharing similar interests. To make possible meetings 
and collaborations, the MMS analyses profiles of co-localized users 
using mobile devices, and indicates which users have a high degree of 
similarity among their profiles.

The profiles are described using ontologies in OWL format (Web Ontology 
Language), where the subjects of interest may be related with symbolic 
regions. The information about localization is obtained through 
interactions of MMS with a location service (/Location Inference 
Service - LIS) present in MoCA architecture (/Mobile Collaboration 
Architecture).

The MMS service is built in a client/server architecture. The MMS 
provides the matchmaking service in two modes: synchronous and 
asynchronous. The synchronous mode allows that users requests MMS to 
find people with similar interest in the same location. The asynchronous 
mode allows that users subscribe to the MMS service to receive  
notifications when the MMS finds people in the neighborhood with similar 
interests. The MMS client provides access to the service and allows 
edition of user^Òs profiles of interest for each localization.