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Model of an Integration Bus of Data and Ontologies of Smart Cities Processes

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Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 9990))

Abstract

This paper presents a model of an integration bus used in the design of Smart Cities system architectures. The model of such a bus becomes necessary when designing high-level architectures, within which the silo processes of the organization should be seen from the perspective of its ontology. For such a bus to be used by any city, a generic solution was proposed which can be implemented as a whole or in part depending on the requirements posed by those cities with respect to the construction of such buses.

The work is divided into four main parts. The first part presents a model of high-level architectural design processes, using ontologies and a data integration bus, which constitutes the generalized experiences of the authors drawn from the design processes of Smart Cities systems. The second part contains a description of the environment in which Smart Cities systems are developed, illustrated with two guidelines and the implementation processes of these guidelines. In the third part, two components of that environment are identified: the data integration bus and the ontologies of city processes. This is done to demonstrate how Smart Cities systems are designed and to show the processes of the permeation of data and the ontologies of city processes in the creation of a high-level architecture. The fourth section contains a description of how the proposed model is applied in the construction of a common integration bus for data and ontologies. The paper summary presents recommendations concerning the applicability of the proposed model.

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Correspondence to Cezary Orłowski .

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Orłowski, C., Ziółkowski, A., Orłowski, A., Kapłański, P., Sitek, T., Pokrzywnicki, W. (2016). Model of an Integration Bus of Data and Ontologies of Smart Cities Processes. In: Nguyen, N., Kowalczyk, R., Orłowski, C., Ziółkowski, A. (eds) Transactions on Computational Collective Intelligence XXV. Lecture Notes in Computer Science(), vol 9990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53580-6_5

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  • DOI: https://doi.org/10.1007/978-3-662-53580-6_5

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