标题： 一个知识图谱用于土壤碳建模 显示英文标题

标题： A Knowledge Graph Informing Soil Carbon Modeling

摘要： 土壤有机碳对于减缓气候变化和农业可持续性至关重要。 然而，理解其动态需要整合来自多个来源的复杂、异构数据。 本文介绍了土壤有机碳知识图谱（SOCKG），一种语义基础设施，旨在将农业研究数据转化为可查询的知识表示。 SOCKG具有农业实验数据的稳健本体模型，能够精确映射来自农业协作研究成果系统的数据集。 它在语义上与国家农业图书馆叙词表一致，确保术语一致性和提高互操作性。 该知识图谱在GraphDB和Neo4j中构建，提供了高级查询功能和RDF访问。 一个用户友好的仪表板允许轻松探索知识图谱和本体。 SOCKG支持高级分析，例如比较不同田地和处理方式下的土壤有机碳变化，推动土壤碳研究，并促进更有效的农业策略以减缓气候变化。 显示英文摘要

摘要： Soil organic carbon is crucial for climate change mitigation and agricultural sustainability. However, understanding its dynamics requires integrating complex, heterogeneous data from multiple sources. This paper introduces the Soil Organic Carbon Knowledge Graph (SOCKG), a semantic infrastructure designed to transform agricultural research data into a queryable knowledge representation. SOCKG features a robust ontological model of agricultural experimental data, enabling precise mapping of datasets from the Agricultural Collaborative Research Outcomes System. It is semantically aligned with the National Agricultural Library Thesaurus for consistent terminology and improved interoperability. The knowledge graph, constructed in GraphDB and Neo4j, provides advanced querying capabilities and RDF access. A user-friendly dashboard allows easy exploration of the knowledge graph and ontology. SOCKG supports advanced analyses, such as comparing soil organic carbon changes across fields and treatments, advancing soil carbon research, and enabling more effective agricultural strategies to mitigate climate change.