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Despite data quality has been long recognized as an essential component of geospatial data, it didn’t receive its deserved attention inthe GIS-based applications. Due to the lack of a comprehensive framework for modelling, distribution and analysis of data quality ofheterogeneous geospatial data, users are often forced to deal with data of unknown or unclear quality, an unpredictable level of riskis hence inevitable. With the rapid growth of data sharing mechanism, a close link between data producers and domain users must beestablished. We argue the use of quality information must be fully integrated with the commonly used GIS functions and furtherextended to the visualization of operation results. This is especially necessary for users who do not possess the required knowledgeto correctly interpret the illustrated results in GIS-based interface. We first proposed a quality-aware workflow driven bystandardized quality information, then use "data select" function as an example to demonstrate how the consideration of qualityinformation can be assimilated into the design of GIS functions to ensure the correct interpretation of final results. The proposedworkflow will not only improve the interoperability when integrating geospatial data from different resources, but also tremendouslyupgrade the intelligence of GIS-based operations to avoid wrong decision making

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

THE DESIGN OF INTELLIGENT WORKFLOW FOR GIS FUNCTIONS: A DATA QUALITY PERSPECTIVE