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Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method

文献类型：期刊论文

作者Hou, Zhi-Wei5,6; Qin, Cheng-Zhi4,5,6; Zhu, A-Xing2,3,4,5,6; Wang, Yi-Jie5,6; Liang, Peng1; Wang, Yu-Jing5,6; Zhu, Yun-Qiang4,5,6
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2021-09-01
卷号10期号:9页码:24
关键词intelligent geoprocessing parameter constraints input data validation formalization heuristic evaluation application context
DOI10.3390/ijgi10090605
通讯作者Qin, Cheng-Zhi(qincz@lreis.ac.cn)
英文摘要Intelligent geoprocessing relies heavily on formalized parameter constraints of geoprocessing tools to validate the input data and to further ensure the robustness and reliability of geoprocessing. However, existing methods developed to formalize parameter constraints are either designed based on ill-suited assumptions, which may not correctly identify the invalid parameter inputs situation, or are inefficient to use. This paper proposes a novel method to formalize the parameter constraints of geoprocessing tools, based on a high-level and standard constraint language (i.e., SHACL) and geoprocessing ontologies, under the guidance of a systematic classification of parameter constraints. An application case and a heuristic evaluation were conducted to demonstrate and evaluate the effectiveness and usability of the proposed method. The results show that the proposed method is not only comparatively easier and more efficient than existing methods but also covers more types of parameter constraints, for example, the application-context-matching constraints that have been ignored by existing methods.
WOS关键词ONTOLOGY ; WEB ; VALIDATION ; ALGORITHMS
资助项目Chinese Academy of Sciences[XDA23100503] ; University of Wisconsin-Madison
WOS研究方向Computer Science ; Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:000699480000001
出版者MDPI
资助机构Chinese Academy of Sciences ; University of Wisconsin-Madison
源URL[http://ir.igsnrr.ac.cn/handle/311030/166039]  
专题中国科学院地理科学与资源研究所
通讯作者Qin, Cheng-Zhi
作者单位1.China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China
2.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
3.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Hou, Zhi-Wei,Qin, Cheng-Zhi,Zhu, A-Xing,et al. Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(9):24.
APA Hou, Zhi-Wei.,Qin, Cheng-Zhi.,Zhu, A-Xing.,Wang, Yi-Jie.,Liang, Peng.,...&Zhu, Yun-Qiang.(2021).Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(9),24.
MLA Hou, Zhi-Wei,et al."Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.9(2021):24.

入库方式： OAI收割

来源：地理科学与资源研究所

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