Procedural metadata for geographic information using an algebra of core concept transformations

被引:0
|
作者
Steenbergen, Niels [1 ]
Top, Eric [1 ]
Nyamsuren, Enkhbold [1 ]
Scheider, Simon [1 ]
机构
[1] Univ Utrecht, Dept Human Geog & Spatial Planning, Utrecht, Netherlands
来源
JOURNAL OF SPATIAL INFORMATION SCIENCE | 2023年 / 27期
基金
欧洲研究理事会;
关键词
core concepts; geographic information; workflows; transformations; type infer-ence; semantic web; ONTOLOGY;
D O I
10.5311/JOSIS.2023.27.268
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Transformations are essential for dealing with geographic information. They are involved not only in the conversion between geodata formats and reference systems, but also in turning geodata into useful information according to some purpose. However, since a transformation can be implemented in various formats and tools, its function and purpose usually remains hidden underneath the technicalities of a workflow. To automate geographic information procedures, we therefore need to model the transformations imple-mented by workflows on a conceptual level, as a form of procedural knowledge. Although core concepts of spatial information provide a useful level of description in this respect, we currently lack a model for the space of possible transformations between such concepts. In this article, we present the algebra of core concept transformations (CCT). It consists of a type hierarchy which models core concepts as relation types, and a set of basic trans-formations described in terms of function signatures that use such types. We enrich GIS workflows with abstract machine-readable metadata, by compiling algebraic tool descrip-tions and inferring goal concepts across a workflow. In this article, we show how such procedural metadata can be used to retrieve workflows based on task descriptions derived from geo-analytical questions. Transformations can be queried independently from their implementations or data formats.
引用
收藏
页码:51 / 92
页数:42
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