Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 357-360, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-357-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
08 Jun 2016
A CONCEPTUAL FRAMEWORK FOR VIRTUAL GEOGRAPHIC ENVIRONMENTS KNOWLEDGE ENGINEERING
Lan You1,2 and Hui Lin1,3 1Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China
2Faculty of Computer Science and Information Engineering, Hubei University, Wuhan, China
3Department of Geography and Resource Management, Chinese University of Hong Kong, Hong Kong, China
Keywords: Geographic knowledge, Knowledge engineering, VGE, Framework, Knowledge evolution Abstract. VGE geographic knowledge refers to the abstract and repeatable geo-information which is related to the geo-science problem, geographical phenomena and geographical laws supported by VGE. That includes expert experiences, evolution rule, simulation processes and prediction results in VGE. This paper proposes a conceptual framework for VGE knowledge engineering in order to effectively manage and use geographic knowledge in VGE. Our approach relies on previous well established theories on knowledge engineering and VGE. The main contribution of this report is following: (1) The concepts of VGE knowledge and VGE knowledge engineering which are defined clearly; (2) features about VGE knowledge different with common knowledge; (3) geographic knowledge evolution process that help users rapidly acquire knowledge in VGE; and (4) a conceptual framework for VGE knowledge engineering providing the supporting methodologies system for building an intelligent VGE. This conceptual framework systematically describes the related VGE knowledge theories and key technologies. That will promote the rapid transformation from geodata to geographic knowledge, and furtherly reduce the gap between the data explosion and knowledge absence.
Conference paper (PDF, 691 KB)


Citation: You, L. and Lin, H.: A CONCEPTUAL FRAMEWORK FOR VIRTUAL GEOGRAPHIC ENVIRONMENTS KNOWLEDGE ENGINEERING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 357-360, https://doi.org/10.5194/isprs-archives-XLI-B2-357-2016, 2016.

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