GloSIS: The Global Soil Information System Web Ontology

核心概念

Establishing a global soil information system for sustainable land management.

摘要

The article introduces the GloSIS web ontology, implementing a domain model for soil data exchange. It discusses the importance of harmonizing soil data globally and presents examples of linked data compliant with GloSIS. The content is structured into sections covering introduction, motivation, GSP goals, international consultancy, background on related work, methodology, requirements, conceptualization, implementation details, and an overview of the ontology modules.
Structure:

Introduction and Motivation

Population growth impact on soils.
Risks to food supply and ecosystems.

GSP Goals

Pillars of action for sustainable soil management.

International Consultancy

Call for consultancy to assess soil information exchange.

Background and Related Work

Review of SOTER, ISO 28258, ANZSoilML, INSPIRE Soil Theme, OGC Soil IE models.

Methodology and Requirements

NeOn methodology used for ontology development.

Conceptualization and Implementation

Transformation from UML to OWL ontology using ShapeChange tool.

Procedure Code-lists Introduction

Inventory of physio-chemical analysis processes for GloSIS ontology enrichment.

統計資料

"Human population more than tripled since the end of World War II."
"Share of population living in cities doubled to over 50% in 2010."
"Global agricultural area expanded by just 30% in the past seven decades."
"Soils impacted by over-use of fertilizers, chemical contamination, loss of organic matter."
"ISO 28258 model selected as most suitable starting point for operationalizing exchange mechanism."

引述

"Addressing these risks often requires a holistic approach with policies envisioned at a global scale."
"The lack of homogeneity severely limits the availability and use of soil data."
"Pillar 5 is a basic foundation providing and using global soil information."

從以下內容提煉的關鍵洞見

GloSIS

by Raul... 於 arxiv.org 03-26-2024

https://arxiv.org/pdf/2403.16778.pdf

深入探究

How can local initiatives align with global policies for sustainable land management?

Local initiatives can align with global policies for sustainable land management by ensuring that their practices and data collection methods are in line with the overarching goals set at a global level. This alignment involves:

Awareness and Education: Local stakeholders need to be informed about the importance of sustainable land management practices and how they contribute to broader global sustainability objectives.
Adaptation of Practices: Implementing practices that promote soil conservation, biodiversity preservation, and responsible land use based on international guidelines.
Data Sharing: Contributing local data to larger databases or networks like GloSIS allows for a more comprehensive understanding of soil health globally.
Policy Integration: Incorporating global policy recommendations into local regulations and strategies ensures that actions taken at the grassroots level support wider sustainability efforts.

What are the challenges in harmonizing soil data collection at a global scale?

Harmonizing soil data collection at a global scale faces several challenges:

Heterogeneous Methods: Different regions use varied methodologies for collecting soil data, leading to inconsistencies in quality and format.
Lack of Standardization: Absence of standardized protocols makes it difficult to compare or integrate datasets from different sources effectively.
Data Accessibility: Limited access to comprehensive datasets hinders collaboration between countries or organizations working towards common goals.
Technological Barriers: Uneven technological capabilities across regions may impede the adoption of advanced tools for data collection and sharing.

How does the Semantic Web facilitate operationalizing domain models like GloSIS?

The Semantic Web enables operationalization of domain models like GloSIS through:

Standardized Representation: Using ontologies like OWL allows for clear representation of concepts, relationships, and properties within the model.
Interoperability: By adhering to Semantic Web standards such as SOSA/SSN, GeoSPARQL, QUDT, linked data from different sources can be integrated seamlessly.
Flexibility: The use of SKOS provides flexibility in managing controlled vocabularies or code-lists essential for describing complex concepts within the model.
Integration: Connecting various components within an ontology network enhances interoperability among different modules or extensions related to specific aspects like spatial object types or laboratory procedures.