Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
175 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
42 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

GloSIS: The Global Soil Information System Web Ontology (2403.16778v1)

Published 25 Mar 2024 in cs.IR

Abstract: Established in 2012 by members of the Food and Agriculture Organisation (FAO), 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 [54], 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 (SOSA, 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 physio-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.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (53)
  1. Benefits of soil carbon: report on the outcomes of an international scientific committee on problems of the environment rapid assessment workshop. Carbon Management, 5(2):185–192.
  2. Barnes, M. (2015). Aichi targets: Protect biodiversity, not just area. Nature, 526(7572):195–195.
  3. Tier 1 and Tier 2 data in the context of the federated Global Soil Information System (GLOSIS). Technical Report 2019/01, ISRIC - World Soil Information.
  4. Standardised soil profile data to support global mapping and modelling (wosis snapshot 2019). Earth System Science Data, 12(1):299–320.
  5. An assessment of the global impact of 21st century land use change on soil erosion. Nature Communications, 8(1):2013.
  6. Bouma, J. (2015). Engaging soil science in transdisciplinary research facing “wicked” problems in the information society. Soil Sci. Soc. Am. J., 79(2):454–458.
  7. Impact analysis by mining software and change request repositories. In 11th IEEE International Software Metrics Symposium (METRICS’05), pages 9–pp. IEEE.
  8. Near-infrared reflectance spectroscopy–principal components regression analyses of soil properties. Soil Science Society of America Journal, 65(2):480–490.
  9. Cox, S. (2011a). Observations and measurements-xml implementation. version 2.0. Technical report.
  10. Cox, S. (2011b). OGC Abstract Specification Geographic information — Observations and measurements. Technical report, Open Geospatial Consortium.
  11. Daniel, B. K. (2019). Big data and data science: A critical review of issues for educational research. British Journal of Educational Technology, 50(1):101–113.
  12. Desa, U. (2018). World urbanization prospects 2018. United Nations Department for Economic and Social Affiars.
  13. The state of food security and nutrition in the world 2018. building climate resilience for food security and nutrition. Report, FAO.
  14. FAO and ITPS (2015). Status of the world’s soil resources (swsr) - main report. Report, Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils.
  15. Garijo, D. (2017). Widoco: a wizard for documenting ontologies. In International Semantic Web Conference, pages 94–102. Springer.
  16. German, D. M. (2003). The gnome project: a case study of open source, global software development. Software Process: Improvement and Practice, 8(4):201–215.
  17. Neon methodology for building ontology networks: a scenario-based methodology.
  18. IPBES (2019). Global assessment report on biodiversity and ecosystem services of the intergovernmental science- policy platform on biodiversity and ecosystem services. e. s. brondizio, j. settele, s. díaz, and h. t. ngo (editors). Report, IPBES.
  19. ISO 19136:2007 (2007). Geographic information — Geography Markup Language (GML). Standard, International Organization for Standardization, Geneva, CH.
  20. ISO 19156:2011 (2011). Geographic information – Observations and measurements. Standard, International Organization for Standardization, Geneva, CH.
  21. ISO 28258:2013 (2013). Soil quality – Digital exchange of soil-related data. Standard, International Organization for Standardization, Geneva, CH.
  22. Guidelines for soil description. FAO.
  23. Sosa: A lightweight ontology for sensors, observations, samples, and actuators. Journal of Web Semantics, 56:1–10.
  24. Jensen, J. (2019). A systematic literature review of the use of semantic web technologies in formal education. British Journal of Educational Technology, 50(2):505–517.
  25. A restructured and updated global soil respiration database (srdb-v5). Earth System Science Data, 13(2):255–267.
  26. Lucas 2015 topsoil survey. presentation of dataset and results, eur 30332 en, publications office of the european union.
  27. Soil and the intensification of agriculture for global food security. Environment international, 132:105078.
  28. Africa Soil Profiles Database - Version 1.2. Technical report, ISRIC - World Soil Information.
  29. The anatomy of uncertainty for soil ph measurements and predictions: Implications for modellers and practitioners. European journal of soil science, 70(1):185–199.
  30. Webvowl: Web-based visualization of ontologies. In International Conference on Knowledge Engineering and Knowledge Management, pages 154–158. Springer.
  31. New Zealand Soil Description Handbook. Manaaki Whenua Digital Library, revised edition.
  32. Nations, U. (2019). World population prospects 2019. Vol (ST/ESA/SE. A/424) Department of Economic and Social Affairs: Population Division.
  33. Global and national soils and terrain digital databases (SOTER): Procedures manual, volume 74. Food & Agriculture Org.
  34. OGC 16-088r1 (2016). OGC Soil Data Interoperability Experiment. Engineering report, Open Geospatial Consortium.
  35. A world soils and terrain digital database (soter) – an improved assessment of land resources. Geoderma, 60(1-4):309–325.
  36. Australian soil and land survey field handbook. Number 1. CSIRO PUBLISHING, third edition.
  37. Partnership, G. S. (2017a). Plan of action for pillar five of the global soil partnership. Technical report, GSP - Global Soil Partnership.
  38. Partnership, G. S. (2017b). Plan of action for pillar four of the global soil partnership. Technical report, GSP - Global Soil Partnership.
  39. Trends in global agricultural land use: implications for environmental health and food security. Annual review of plant biology, 69:789–815.
  40. Riehle, D. (2011). Controlling and steering open source projects. Computer, 44(07):93–96.
  41. Field book for describing and sampling soils. Government Printing Office.
  42. Geosciml: development of a generic geoscience markup language. Computers & geosciences, 31(9):1095–1103.
  43. ANZSoilML: an Australian-New Zealand standard for exchange of soil data. In EGU General Assembly Conference Abstracts, pages EGU2013–6802.
  44. Soil, I. T. W. G. (2013). D2.8.iii.3 inspire data specification on soil – draft guidelines. Standard, European Commission Joint Research Centre.
  45. Matching policy and science: Rationale for the ‘4 per 1000 - soils for food security and climate’ initiative. Soil and Tillage Research.
  46. Options for keeping the food system within environmental limits. Nature.
  47. Publishing skos vocabularies with skosmos. Manuscript submitted for review.
  48. Onki skos server for publishing and utilizing skos vocabularies and ontologies as services. In European Semantic Web Conference, pages 768–780. Springer.
  49. UNEP (2012). The benefits of soil carbon - managing soils for multiple, economic, societal and environmental benefits, pages 19–33. United Nations Environmental Programme, Nairobi.
  50. Exploring future changes in land use and land condition and the impacts on food, water, climate change and biodiversity: Scenarios for the unccd global land outlook. Report, UNCCD.
  51. Chapter five - proximal soil sensing: An effective approach for soil measurements in space and time. In Sparks, D. L., editor, Advances in Agronomy, volume 113 of Advances in Agronomy, pages 243–291. Academic Press.
  52. WOCAT (2007). Where the land is greener: Case studies and analysis of soil and water conservation initiatives worldwide. CTA, UNEP, FAO and CDE, Berne.
  53. Data Model Development for the Global Soil Information System (GloSIS). Technical report, GSP - Global Soil Partnership.
Citations (1)
View on Semantic Scholar

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now