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

Autor: Zhi-Wei Hou, Cheng-Zhi Qin, A-Xing Zhu, Yi-Jie Wang, Peng Liang, Yu-Jing Wang, Yun-Qiang Zhu

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 9, p 605 (2021)

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 par

Externí odkaz: https://doaj.org/article/bac5cee05b70417a8cb61d4d96f3a4e7

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

Autor: Yunqiang Zhu, Yi-Jie Wang, Cheng-Zhi Qin, Zhi-Wei Hou, A.-Xing Zhu, Peng Liang, Yu-Jing Wang

Publikováno v: ISPRS International Journal of Geo-Information
Volume 10
Issue 9
ISPRS International Journal of Geo-Information, Vol 10, Iss 605, p 605 (2021)

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 par

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::971b65985aef0471d19ae0e970575696

From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling

Autor: Yunqiang Zhu, Zhi-Wei Hou, Yi-Jie Wang, Peng Liang, A-Xing Zhu, Cheng-Zhi Qin

Publikováno v: ISPRS International Journal of Geo-Information, Vol 8, Iss 9, p 376 (2019)

One of the key concerns in geographic modeling is the preparation of input data that are sufficient and appropriate for models. This requires considerable time, effort, and expertise since geographic models and their application contexts are complex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a86bc5c44b7ac02d654ecbf31eefcfff
https://www.mdpi.com/2220-9964/8/9/376