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A Context Data Metamodel for Distributed Middleware Platforms in Smart Cities

Authors:
Júlio Lopes
Lucas Silva
Gledson Elias

Keywords: smart cities; context modeling; context-awareness; data integration and partitioning

Abstract:
The concept of smart cities is related to the development of services, systems and applications to provide sustainable solutions for a huge and fast-growing population in urban areas. In a smart cities context, the wide range of application domains leads to a variety of large independent local repositories with non-unified data models that support very limited interoperability and, more importantly, hinder data reuse, integration, extension and partitioning. In order to address such issues, this paper presents a metamodel for specification and instantiation of context data in smart cities driven by interoperable distributed middleware platforms, enabling data integration, reuse, extension and partitioning, supplied by several independent data providers across a lot of application domains. Supported by an experimental prototype implementation, empirical results based on a semi-real dataset evince the potential benefits and practical applicability of the proposed metamodel.

Pages: 39 to 45

Copyright: Copyright (c) IARIA, 2019

Publication date: June 2, 2019

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-715-3

Location: Athens, Greece

Dates: from June 2, 2019 to June 6, 2019