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 users to request MMS to find people with similar interest in the same location. The asynchronous mode allows users to subscribe to the MMS service to receive automatic notifications when the MMS finds people in the neighborhood with similar interests. The MMS client provides access to the service and allows edition of users` profiles of interest for each localization.