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...
Veille Scientifique et Technologique quotidienne sur les thématiques de recherche du département Cosys de
l'Université Gustave Eiffel et plus largement sur les thématiques de la ville durable.
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