NDLI: A knowledge-based creation of mathematical programming for GIS problem solving

Content Provider	IEEE Xplore Digital Library
Author	Wei Hui Xu Qing-xin
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Fudan Univ., Shanghai, China (Wei Hui; Xu Qing-xin)
Abstract	Nowadays the biggest challenge to GIS is the model design of theme analyzing. Many GIS applications need more functions in analysis and decision-making than in data organization or visualization. While confronted with an application like planning a new metro line in a city, the typical GIS cannot accomplish it by itself, unless some human experts or artificial intelligence technology are involved. Numbers of GIS applications essentially are models of theme analyzing, and they are also examples of problem solving in AI. Therefore many theories and technologies from AI can be embedded in GIS to strengthen its ability of automatic analysis. Fortunately mathematical programming is a kind of powerful tool to settle problems with a demand of optimization under some constraint conditions. Many GIS applications happen to be this type, and some mathematical models can usually approximate them accurately. Two new questions aroused. The first is what objective function and constraint conditions that constitute a mathematical programming should be, and the second is how to acquire those mathematical expressions. Due to the establishment of a mathematical programming is highly knowledge-based, so an AI subsystem is designed to autonomously create a mathematical programming. This problem has a typical characteristic of multiple domains crossing from perspective of Knowledge Engineering, so some novel knowledge-processing methods, like knowledge dependence, knowledge transition and knowledge reference, are studied. And a knowledge system represented by frames and a reference-based knowledge-using method are presented here.
File Size	159371
File Format	PDF
ISBN	0780390504
DOI	10.1109/IGARSS.2005.1525265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-29
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical programming Geographic Information Systems Problem-solving Artificial intelligence Decision making Data visualization Technology planning Cities and towns Humans Constraint optimization
Content Type	Text
Resource Type	Article

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