A Task-Oriented Knowledge Base for Geospatial Problem-Solving

作者: Can Zhuang , Zhong Xie , Kai Ma , Mingqiang Guo , Liang Wu

DOI: 10.3390/IJGI7110423

关键词:

摘要: In recent years, the rapid development of cloud computing and web technologies has led to a significant advancement chain geospatial information services (GI services) in order solve complex problems. However, construction problem-solving workflow requires considerable expertise for end-users. Currently, few studies design knowledge base capture share knowledge. This paper abstracts problem as task that can be further decomposed into multiple subtasks. The distinguishes three distinct granularities: Geooperator, Atomic Task, Composite Task. A model is presented define outline solution at conceptual level closely reflects processes problem-solving. task-oriented leverages an ontology-based approach built provides potential reusing when faced with similar problem. Conclusively, details implementation are described through using meteorological early-warning analysis example.

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