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A Task-Oriented Knowledge Base for Geospatial Problem-Solving

by 1, 1,2,*, 1, 1 and 1,2
School of Information Engineering, China University of Geosciences, Wuhan 430074, China
National Engineering Research Center for GIS, Wuhan 430074, China
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(11), 423;
Received: 5 September 2018 / Revised: 4 October 2018 / Accepted: 27 October 2018 / Published: 31 October 2018
(This article belongs to the Special Issue Big Data Computing for Geospatial Applications)
In recent years, the rapid development of cloud computing and web technologies has led to a significant advancement to chain geospatial information services (GI services) in order to solve complex geospatial problems. However, the construction of a problem-solving workflow requires considerable expertise for end-users. Currently, few studies design a knowledge base to capture and share geospatial problem-solving knowledge. This paper abstracts a geospatial problem as a task that can be further decomposed into multiple subtasks. The task distinguishes three distinct granularities: Geooperator, Atomic Task, and Composite Task. A task model is presented to define the outline of problem solution at a conceptual level that closely reflects the processes for problem-solving. A task-oriented knowledge base that leverages an ontology-based approach is built to capture and share task knowledge. This knowledge base provides the potential for reusing task knowledge when faced with a similar problem. Conclusively, the details of implementation are described through using a meteorological early-warning analysis as an example. View Full-Text
Keywords: task; workflow; geospatial problem-solving; knowledge base task; workflow; geospatial problem-solving; knowledge base
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MDPI and ACS Style

Zhuang, C.; Xie, Z.; Ma, K.; Guo, M.; Wu, L. A Task-Oriented Knowledge Base for Geospatial Problem-Solving. ISPRS Int. J. Geo-Inf. 2018, 7, 423.

AMA Style

Zhuang C, Xie Z, Ma K, Guo M, Wu L. A Task-Oriented Knowledge Base for Geospatial Problem-Solving. ISPRS International Journal of Geo-Information. 2018; 7(11):423.

Chicago/Turabian Style

Zhuang, Can, Zhong Xie, Kai Ma, Mingqiang Guo, and Liang Wu. 2018. "A Task-Oriented Knowledge Base for Geospatial Problem-Solving" ISPRS International Journal of Geo-Information 7, no. 11: 423.

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