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

Lorena Otero-Cerdeira¹, Francisco J Rodríguez-Martínez², Alma Gómez-Rodríguez³

¹LIA2 Group, Computer Science Department, University of Vigo, Galicia 32004, Spain. locerdeira@uvigo.es.

Sensors (Basel, Switzerland)

|December 11, 2014

Summary

This summary is machine-generated.

This study introduces OntoPhil, a novel ontology matching algorithm for smart cities. OntoPhil ensures seamless information exchange between diverse agents, enhancing smart city functionality and accessibility.

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Area of Science:

Computer Science
Artificial Intelligence
Urban Informatics

Background:

Smart cities rely on diverse agents (sensors, devices, users) for data exchange.
Semantic representation using ontologies enables agent knowledge sharing.
Interoperability challenges arise from heterogeneous ontologies within smart cities.

Purpose of the Study:

To propose a novel ontology matching algorithm, OntoPhil, for automatic information exchange in smart cities.
To address the challenge of seamless communication between heterogeneous agents and the smart city infrastructure.
To enhance the accessibility and service capabilities of open smart cities.

Main Methods:

Development of a new ontology matching algorithm named OntoPhil.
Deployment and testing of OntoPhil within a smart city context.
Evaluation using benchmarks from the Ontology Alignment Evaluation Initiative (OAEI).
Comparative analysis against existing ontology matching algorithms not specifically designed for smart cities.
Specific validation tests with smart city ontologies and various agent types.

Main Results:

OntoPhil demonstrated effectiveness in facilitating automatic information exchange between agents.
The algorithm proved capable of handling heterogeneous ontologies within the smart city environment.
Performance was validated through established OAEI benchmarks and specific smart city scenarios.

Conclusions:

OntoPhil offers a viable solution for achieving interoperability in smart cities.
The proposed algorithm enhances seamless communication, crucial for advanced smart city services.
This research pioneers the application of dedicated ontology matching for smart city agent interactions.