Study on Spatial Knowledge Representation and Reasoning Based on Bayesian Networks

摘要：

Spatial information plays an essential role on the progress of science and technology,and has a profound impact on economic growth and society progress in the twenty-first century.Spatial knowledge representation and reasoning are very important for us to utilize spatial information.In this paper,a review is presented on spatial knowledge representation and reasoning.And then we propose a method of spatial knowledge representation and reasoning based on Bayesian networks.We focused on how to represent spatial relationship,spatial objects and spatial features by using Bayesian networks.Let spatial features (or spatial objects,spatial relationships) as variables or the nodes in Bayesian network,let directed edges present the relationships between spatial features,and the relevancy intensity can be regarded as confidence between the variables (the same as probability parameter in Bayesian network).Accordingly,the problem of spatial knowledge representation will be changed to the problem of learning Bayesian networks.The experimental results are given to verify the practical feasibility of the proposed methodology.Eventually,we conclude with a summary and a statement of future work.

关键词： Bayesian networks spatial relations knowledge representation spatial reasoning data mining

作者: Huang Jiejun Qi Peipei Wu Yanyan Yuan Yanbin Ye Fawang

作者单位: School of Resource and Environment Engineering,Wuhan University of Technology,Wuhan 430070 China National Eey Laboratory of Remote Sensing Information and Imagery Analysis,Beijing 100029 China

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）