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Multi-level Evaluation of Smart City Initiatives Using the SUMO Ontology and Choquet Integral

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Human Centred Intelligent Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 189))

Abstract

Smart city initiatives from different administrative levels have varying perspectives. Evaluating initiatives in isolated administrative levels limits understanding of the systemic implications of initiatives on policy analysis and development. This paper focuses on the use of natural language processing and knowledge elicitation techniques as the means to evaluate smart city initiatives at various administrative levels including multinational, national, and local city levels. By building ontological knowledge maps, study evaluates alignment of multi-level smart city initiatives which ultimately supports smart city governance and policy analysis.

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Author information

Authors and Affiliations

  1. Penn State Great Valley School of Graduate Professional Studies, Malvern, PA, 19355, USA

    Nil Kilicay-Ergin & Adrian Barb

Authors
  1. Nil Kilicay-Ergin
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  2. Adrian Barb
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Corresponding author

Correspondence to Nil Kilicay-Ergin .

Editor information

Editors and Affiliations

  1. Faculty of Informatics, Reutlingen University, Reutlingen, Baden-Württemberg, Germany

    Alfred Zimmermann

  2. KES International and Bournemouth University, Shoreham-by-sea, UK

    Robert J. Howlett

  3. University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Kilicay-Ergin, N., Barb, A. (2021). Multi-level Evaluation of Smart City Initiatives Using the SUMO Ontology and Choquet Integral. In: Zimmermann, A., Howlett, R., Jain, L. (eds) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, vol 189. Springer, Singapore. https://doi.org/10.1007/978-981-15-5784-2_3

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