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Towards Smart Urban Planning through Knowledge Infrastructure

Authors:
Robert Laurini

Keywords: Smart City, Territorial Intelligence; Geographic Knowledge; Knowledge Infrastructure; Geographic Rules; Smart Planning; Geographic Reasoning.

Abstract:
In companies, the use of the so-called business intelligence and knowledge engineering is more and more commonly found. By essence, companies are using computer tools, which tends to include them in the knowledge society; from a mathematical point of view, knowledge representation is made through rules and logics. And then comes the question: what could be done in this direction for urban planning? The big challenge is to deal with urban and environmental features which are usually described, stored and manipulated via computational geometry and spatial analysis. But those disciplines cannot easily be combined with logics. The goal of this position paper is to show how knowledge engineering can be the foundation of a new type of urban planning, i.e., urban planning based on knowledge. Geographic knowledge bunches are usually described through geographic objects, relations, structures, ontologies, gazetteers, rules and mathematical models. After having explained those bunches of knowledge, the structure of a geographic inference engine is sketched so to renovate urban planning. Then beyond Spatial Data Infrastructure, we explain that some geographic knowledge infrastructure could be the basis of a new generation of tools for urban planning.

Pages: 75 to 80

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-539-5

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017