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ISPRS Int. J. Geo-Inf. 2019, 8(3), 118; https://doi.org/10.3390/ijgi8030118

The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment

1
The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, China
3
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
4
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
5
Faculty of Resources and Environmental Science, Hubei University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 30 September 2018 / Revised: 24 January 2019 / Accepted: 24 February 2019 / Published: 1 March 2019
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Abstract

With the wide use of web technologies, service-oriented architecture (SOA), and cloud computing, more and more geographical information systems are served as GIServices. Under such circumstance, quality of geographic information services (QoGIS) has emerged as an important research topic of geoinformatics. However, it is not easy to understand the field since QoGIS has no formal standards, which is not only in regard to server-side performance and capabilities, but is also related with the quality of experience (QoE) during user interaction with GIServices. In this paper, we compare quality of service (QoS) and QoGIS research to understand the uniqueness of QoGIS. A conceptual framework is proposed to organize and interpret QoGIS research from the perspective of quality modeling, acquisition, and application, and we discuss the status, limitations, and future directions of this area. Overall, our analysis shows that new quality metrics will evolve from existing metrics to match the needs in concrete QoGIS applications, and user preferences need to be considered in quality modeling for GIServices. We discuss three approaches for the provision of QoGIS information and find that user feedback mining is an important supplementary source of quality information. Gaps between QoS and QoGIS research suggest that the GIService performance enhancement must not only consider the unique features of spatial data models and algorithms, but also system architecture, deployment, and user spatiotemporal access behaviors. Advanced service selection algorithms must be introduced to tackle the quality optimization problems of geoprocessing workflow planning. Moreover, a QoGIS-aware GIServices framework must be established to facilitate and ensure GISerivce discovery and interaction. We believe this bibliographic review provides a helpful guide for GIS researchers. View Full-Text
Keywords: QoS; quality of geographic information service (QoGIS); quality modeling; quality acquisition; quality application; quality metric QoS; quality of geographic information service (QoGIS); quality modeling; quality acquisition; quality application; quality metric
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Hu, K.; Gui, Z.; Cheng, X.; Wu, H.; McClure, S.C. The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment. ISPRS Int. J. Geo-Inf. 2019, 8, 118.

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