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MuSe: a semantic solution for personalised recommendations of municipality services

Published Online:pp 112-131

Citizens managing life events are often challenged in finding the needed municipality services (MuSe) and understanding the specific delivery conditions of such services. The lack of a comprehensive view of available services on municipality portals and online systems makes the challenge harder. In this paper, we describe the MuSe ontology, developed in the context of an Italian project that: i) supports the creation of formal and machine-readable descriptions of services available to citizens; ii) enables for personalised recommendations of services based on citizen profiles. Moreover, the paper describes how such recommendations are defined by means of an innovative semantic solution for supply demand matchmaking and how such recommendations are shown to citizens.


municipality services, MuSe, personalised recommendations, ontology, matchmaking, city service ecosystem, CSE, citizen profiles