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

ISPRS International Journal of Geo-Information

Peng Liang¹  Cheng-Zhi Qin²  Zhi-Wei Hou²  Yun-Qiang Zhu²  Yu-Jing Wang²  Yi-Jie Wang²  A-Xing Zhu² 

[1] Institute of Earthquake Forecasting, The China Earthquake Administration, Beijing 100036, China;State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

关键词: intelligent geoprocessing;    parameter constraints;    input data validation;    formalization;    heuristic evaluation;    application context;   

DOI  :  10.3390/ijgi10090605

来源: DOAJ

【 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.

【 授权许可】

Unknown