Next Article in Journal
Assessment of Segmentation Parameters for Object-Based Land Cover Classification Using Color-Infrared Imagery
Previous Article in Journal
Design of a Generic Mobile GIS for Professional Users
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2018, 7(11), 423; https://doi.org/10.3390/ijgi7110423

A Task-Oriented Knowledge Base for Geospatial Problem-Solving

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.
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)
Full-Text   |   PDF [6298 KB, uploaded 31 October 2018]   |  

Abstract

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
Figures

Figure 1

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).
SciFeed

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top