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10 November 2008 Workflow-based system design for the online inspection of spatial data
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Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71460G (2008) https://doi.org/10.1117/12.813107
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
With the broadening and deepening of GIS applications, the GIS system is beginning to process a much larger amount of spatial data. Further analysis and processing of spatial data depend on data quality to a great extent, i.e. the accuracy, integrity and coherence of the data. Different methods have been developed for the purpose of controlling data quality. In this paper, a novel solution is proposed, which is a workflow-based system design for the online inspection of spatial data combined with the role-task based access control model and the versioning function of ArcSDE on a database. The design is charactered by precise workflow modeling of the online inspection of spatial data. There are two significant advantages about this design: a) A more secure access control mechanism in GIS workflow; b) A more effective solution to support long transactions of GIS workflow. This workflow-based system design has been successfully used in the active fault seismic data which have been collected from more than twenty cities in China and include different disciplines. It is charactered by stronger security and easier maintenance. Moreover, it can also be used for other kinds of online inspection of spatial data with its universal applicability.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Linna Chai, Lixin Zhang, Guihua Yu, Yonghua Qu, and Keping Du "Workflow-based system design for the online inspection of spatial data", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460G (10 November 2008); https://doi.org/10.1117/12.813107
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