Enhancing Alignment Results in Ontology Matching for Smart Cities.
Lorena Otero-Cerdeira, Francisco Javier Rodríguez-Martínez, Alma Gómez-Rodríguez · 2014
Abstract. In this paper we propose the use of an ontology matching algorithm to guarantee the interoperability of the different agents that integrate an smart city. In this sort of environment the different parties need to cooperate and to integrate their information in order to provide enhanced services to the users of the smart city. As the information of these parties may be described by means of different and heterogeneous ontologies, we find the solution in the use of ontology matching techniques. The algorithm presented was designed to be able to exploit the knowledge of previous matched agents to enhance the results and provide the most accurate results possible.