Hierarchy of knowledge in GIS

被引:1
作者
ZiTan Chen
机构
[1] ESRI,School of Geographical Science
[2] Nanjing Normal University,undefined
来源
Science in China Series E: Technological Sciences | 2008年 / 51卷
关键词
GIS; knowledge engineering; knowledge hierarchy; knowledge management;
D O I
暂无
中图分类号
学科分类号
摘要
An intelligent geographic information system (GIS) has to handle various types and huge volumes of geoscience-related knowledge as well as enormous amounts of data and information. More recent attention concentrates on collection, representation, management, and usage of knowledge. This article presents a three-tier hierarchy for geoscience knowledge in a GIS. The first tier is for knowledge of data. It includes knowledge of feature objects definition, data structure, data model, and relations among data as well as rules, restrictions, and regulations about data. The second tier is for knowledge of processing. It describes analysis models, data processing procedures, workflows, and conditions. The third tier contains knowledge of a GIS for the public sector. This tier provides knowledge to people on how to access this GIS and what the GIS can do. The three-tier hierarchy of knowledge in a GIS provides an understandable and practical category frame to handle geoscience knowledge. One of the advantages of this hierarchy is that it separates system resource consumption into different stages so it can avoid exhausting the system at peak times when the GIS handles a complex, large task.
引用
收藏
页码:6 / 12
页数:6
相关论文
共 11 条
[1]  
Gong M.(2002)Intelligent spatial decision-support model database and integrating between GIS and analyzing models Geo-Inform Sci 4 91-97
[2]  
Lv G.(2002)An extended model of knowledge-flow dynamics Comm Assoc Inf Syst 8 251-266
[3]  
Zhang S.(2006)The five-tier knowledge management hierarchy J Knowl Manage 10 19-31
[4]  
Nissen M. E.(2007)Knowledge and rules driven method of land and resources spatial data integration Land Resour Inf 3 19-25
[5]  
Hicks R. C.(2003)Geo-spatial data engineering: A theoretical framework Geogr Geo-Inform Sci 19 12-15
[6]  
Dattero R.(undefined)undefined undefined undefined undefined-undefined
[7]  
Galup S. D.(undefined)undefined undefined undefined undefined-undefined
[8]  
Shu F.(undefined)undefined undefined undefined undefined-undefined
[9]  
Liu Y.(undefined)undefined undefined undefined undefined-undefined
[10]  
Zhang Y.(undefined)undefined undefined undefined undefined-undefined