Spatial planning and information technology: an ontology-based approach

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Date
2016
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AESOP
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Over the last three decades, the development of computer-based technologies has open unprecedented opportunities for knowledge building, design, evaluation and decision-making support in spatial planning. Spatial data technologies (e.g., geographic information systems, geographic positioning system) increased the availability of spatial information. Modern spatial planning approaches require integration, interpretation and representation of knowledge (Zhu et al., 1998). These needs can be addressed by computer-based systems, which are becoming an important tool for the decisionmaking process in spatial planning. Amongst the most popular research area of computer-based systems are the Spatial Decision Support Systems (SDSS). These systems aim to facilitate both experts and stakeholders throughout decision-making processes (Zhu et al., 1998) by taking into consideration varying parameters (e.g., institutional, urban, social, economical). However, traditional SDSS fall short of dealing with spatial problems that may be either semi-structured or may contain parameters that are difficult to be modeled due to uncertainties (Jankowski & Nyerges, 2001; Sikder, 2009).
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Proceedings of the IV World Planning Schools Congress, July 3-8th, 2016 : Global crisis, planning and challenges to spatial justice in the north and in the south
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