A Practical Approach to Constructing a Knowledge Graph for Soil Ecological Research

Abstract

AbstractWith the rapid accumulation of biodiversity data, data integration has emerged as a hot topic in soil ecology. Data integration has indeed the potential to advance our knowledge of global patterns in soil biodiversity by facilitating large-scale meta-analytical studies of soil ecosystems. However, ecologists are still poorly equipped when it comes to integrating disparate datasets into a unified knowledge graph with well-defined semantics. This paper presents a practical approach to constructing a knowledge graph from heterogeneous and distributed (semi-)structured data sources. To illustrate our approach, we integrate several datasets on the trophic ecology of soil organisms into a trophic knowledge graph and show how information can be retrieved from the graph to support multi-trophic studies.