Advancing interoperability of geospatial data provenance on the web: Gap analysis and strategies

被引：19

作者：

Jiang, Liangcun ^{[1
]}

Yue, Peng ^{[2
,3
,4
]}

Kuhn, Werner ^{[5
]}

Zhang, Chenxiao ^{[1
]}

Yu, Changhui ^{[2
]}

Guo, Xia ^{[6
]}

机构：

[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China

[2] Wuhan Univ, Sch Remote Sensing & Informat Engn, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China

[3] Collaborat Innovat Ctr Geospatial Technol, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China

[4] Hubei Prov Engn Ctr Intelligent Geoproc, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China

[5] Univ Calif Santa Barbara, Ctr Spatial Studies, Dept Geog, Santa Barbara, CA 93106 USA

[6] NARI Grp Corp, Nanjing 211000, Jiangsu, Peoples R China

来源：

COMPUTERS & GEOSCIENCES | 2018年 / 117卷

基金：

中国国家自然科学基金;

关键词：

Geospatial data provenance; Lineage model; ISO; 19115; W3C PROV; NATIONAL CLIMATE ASSESSMENT; RESTFUL IMPLEMENTATION; SPATIAL-ANALYSIS; SERVICE; GIS; CYBERINFRASTRUCTURE; ENVIRONMENT; INFORMATION; SCIENCE; DESIGN;

D O I：

10.1016/j.cageo.2018.05.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Geospatial data provenance is a fundamental issue in distributing spatial information on the Web. In the geoinformatics domain, provenance is often referred to as lineage. While the ISO 19115 lineage model is used widely in spatial data infrastructures, W3C has recommended the W3C provenance (PROV) data model for capturing and sharing provenance information on the Web. The use of these two separate efforts needs to be harmonized so that geospatial information does not remain an isolated area on the Web. Motivated by several domain use cases, we synthesize a list of provenance questions and analyze gaps between the two models in addressing these questions. Our strategy is to enrich W3C PROV with domain semantics from the ISO 19115 lineage model by suggesting ways to bridge them. A semantic mapping between the ISO lineage model and the W3C PROV model is formalized, and key issues involved are discussed. Use cases illustrate the applicability of the approach.

引用

页码：21 / 31

页数：11

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