Smart city document evaluation to support policy analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Local administrations face many challenges in their shift to smart city development. One of the main challenges is in the area of governance and identification of policy strategies that ensure successful integration of new technologies. In this article we explore a methodology for knowledge elicitation from textual information to identify smart city development trends. Our goal is to evaluate and predict the relevance of documents, especially press releases, to different areas of smart city development. Our methodology includes natural language processing techniques to possibilistically evaluate the relevance of a text to several smart city development areas. Relevant concepts are further associated to domain ontologies and expanded using data fusion techniques to evaluate the relevance of information in text to the areas of smart city development. We test our approach on a large number of documents from the smart city development community.

Original languageEnglish (US)
Title of host publicationSYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728153650
DOIs
StatePublished - Aug 24 2020
Event14th Annual IEEE International Systems Conference, SYSCON 2020 - Virtual, Montreal, Canada
Duration: Aug 24 2020Aug 27 2020

Publication series

NameSYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings

Conference

Conference14th Annual IEEE International Systems Conference, SYSCON 2020
CountryCanada
CityVirtual, Montreal
Period8/24/208/27/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Modeling and Simulation

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