GloSIS: The Global Soil Information System Web Ontology

Established in 2012 by members of the Food and Agriculture Organisation of the United Nations, the Global Soil Partnership (GSP) is a global network of stakeholders promoting sound land and soil management practices towards a sustainable world food system. However, soil survey largely remains a local or regional activity, bound to heterogeneous methods and conventions. Recognising the relevance of global and trans-national policies towards sustainable land management practices, the GSP elected data harmonisation and exchange as one of its key lines of action. Building upon international standards and previous work towards a global soil data ontology, an improved domain model was eventually developed within the GSP, the basis for a Global Soil Information System (GloSIS). This work also identified the Semantic Web as a possible avenue to operationalise the domain model. This article presents the GloSIS web ontology, an implementation of the GloSIS domain model with the Web Ontology Language (OWL). Thoroughly employing a host of Semantic Web standards (Sensor, Observation, Sample, and Actuator ontology (SOSA), Simple Knowledge Organisation System (SKOS), GeoSPARQL, QUDT), GloSIS lays out not only a soil data ontology but also an extensive set of ready-to-use code-lists for soil description and physico-chemical analysis. Various examples are provided on the provision and use of GloSIS-compliant linked data, showcasing the contribution of this ontology to the discovery, exploration, integration and access of soil data.

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Publication Details

Journal
Semantic Web
Published
2025-05-01
DOI
https://doi.org/10.1177/22104968251363767
Citations
3
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
2.40

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article

GloSIS: The Global Soil Information System Web Ontology

Ronald Vargas Rojas, Kathi Schleidt, Luís Moreira de Sousa, Yusuf Yiğini et al.
3 citations
Semantic Web
Soil Geostatistics and Mapping
2.40
article

GloSIS: The Global Soil Information System Web Ontology

Ronald Vargas Rojas, Kathi Schleidt, Luís Moreira de Sousa, Yusuf Yiğini, Dimitrios Moshou, Raúl Palma, Alistair Ritchie, David Medyckyj-Scott, Fenny van Egmond, J.G.B. Leenaars, Tomáš Řezník, Abdul Mounem Mouazen, Bogusz Janiak, Peter Wilson
article en
3 citations

Abstract

Established in 2012 by members of the Food and Agriculture Organisation of the United Nations, the Global Soil Partnership (GSP) is a global network of stakeholders promoting sound land and soil management practices towards a sustainable world food system. However, soil survey largely remains a local or regional activity, bound to heterogeneous methods and conventions. Recognising the relevance of global and trans-national policies towards sustainable land management practices, the GSP elected data harmonisation and exchange as one of its key lines of action. Building upon international standards and previous work towards a global soil data ontology, an improved domain model was eventually developed within the GSP, the basis for a Global Soil Information System (GloSIS). This work also identified the Semantic Web as a possible avenue to operationalise the domain model. This article presents the GloSIS web ontology, an implementation of the GloSIS domain model with the Web Ontology Language (OWL). Thoroughly employing a host of Semantic Web standards (Sensor, Observation, Sample, and Actuator ontology (SOSA), Simple Knowledge Organisation System (SKOS), GeoSPARQL, QUDT), GloSIS lays out not only a soil data ontology but also an extensive set of ready-to-use code-lists for soil description and physico-chemical analysis. Various examples are provided on the provision and use of GloSIS-compliant linked data, showcasing the contribution of this ontology to the discovery, exploration, integration and access of soil data.

Semantic WebVol. 16(5)
Commonwealth Scientific and Industrial Research Organisation (AU), Food and Agriculture Organization of the United Nations (IT), University of Lisbon (PT), Aristotle University of Thessaloniki (GR), Masaryk University (CZ), ISRIC - World Soil Information (NL), Ghent University (BE), Poznan Supercomputing and Networking Center (PL), Manaaki Whenua – Landcare Research (NZ)
European Commission
Openalex Percentile: Top 11%
Soil Geostatistics and Mapping
2.40
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