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Article

A Task-Oriented Knowledge Base for Geospatial Problem-Solving

by 1, 1,2,*, 1, 1 and 1,2
1
School of Information Engineering, China University of Geosciences, Wuhan 430074, China
2
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; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110423
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. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110423

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. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110423

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. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110423

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