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Sensors 2014, 14(12), 23581-23619; doi:10.3390/s141223581

Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities

LIA2 Group, Computer Science Department, University of Vigo, Galicia 32004, Spain
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Received: 9 October 2014 / Revised: 3 November 2014 / Accepted: 5 November 2014 / Published: 8 December 2014
(This article belongs to the Special Issue Sensors and Smart Cities)
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Abstract

In this paper we describe a novel proposal in the field of smart cities: using an ontology matching algorithm to guarantee the automatic information exchange between the agents and the smart city. A smart city is composed by different types of agents that behave as producers and/or consumers of the information in the smart city. In our proposal, the data from the context is obtained by sensor and device agents while users interact with the smart city by means of user or system agents. The knowledge of each agent, as well as the smart city’s knowledge, is semantically represented using different ontologies. To have an open city, that is fully accessible to any agent and therefore to provide enhanced services to the users, there is the need to ensure a seamless communication between agents and the city, regardless of their inner knowledge representations, i.e., ontologies. To meet this goal we use ontology matching techniques, specifically we have defined a new ontology matching algorithm called OntoPhil to be deployed within a smart city, which has never been done before. OntoPhil was tested on the benchmarks provided by the well known evaluation initiative, Ontology Alignment Evaluation Initiative, and also compared to other matching algorithms, although these algorithms were not specifically designed for smart cities. Additionally, specific tests involving a smart city’s ontology and different types of agents were conducted to validate the usefulness of OntoPhil in the smart city environment. View Full-Text
Keywords: information fusion; ambient intelligence; context-awareness; smart city;ontology; ontology matching; multi-agent system information fusion; ambient intelligence; context-awareness; smart city;ontology; ontology matching; multi-agent system
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Otero-Cerdeira, L.; Rodríguez-Martínez, F.J.; Gómez-Rodríguez, A. Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities. Sensors 2014, 14, 23581-23619.

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