Abstract
The D3.1 - Knowledge Graph Configuration Manual & Deployment deliverable presents a comprehensive guide to the configuration and deployment of the EO4EU knowledge graph. It establishes the essential groundwork, clarifying the importance of knowledge graphs in earth observations and highlights their multifaceted benefits. Knowledge graphs, as semantic data structures, have emerged as a transformative force in earth observations, facilitating data integration, interoperability, and knowledge-based decision support. The document provides insights into the capabilities of knowledge graphs and how they democratise access to earth observation data, making it accessible to both experts and non-experts alike.
The deliverable presents the intricacies of data modelling for earth observation knowledge graphs. It comprehensively discusses data acquisition and integration, emphasising the diverse sources of earth observation data, their transformation into a unified schema, and the vital role of ontologies in shaping the knowledge graph’s semantic foundation. The document further provides insights on the conceptualization of entities, attributes, and relationships, emphasising the maintenance of data quality through transformation, cleaning, and entity recognition and presents practical scenarios where knowledge graphs have been applied to harness earth observations.
In the subsequent sections, we present the EO4EU knowledge graph detailing its aim to enhance the accessibility, reusability, and exploitability of earth observation data. We present the development of such a semantically rich knowledge graph that acts as a unified framework for diverse earth observation data sources in the EU. The project emphasises semantic enrichment, integrating structured, semi-structured, and unstructured data into a cohesive framework. We present the functionality of the knowledge graph in structuring, unifying datasets, and establishing connections based on semantic metrics. We also discuss the project's integration with open access cohorts and cloud-based platforms, aiming to create a comprehensive, interconnected system for harmonising earth observation that empowers users to extract meaningful insights, discover hidden patterns, and make data-driven decisions within the EO4EU context.
D3.1 is an integral part in the EO4EU project's mission to advance earth observation knowledge. It equips end-users with the tools and insights needed to harness the potential of the EO4EU knowledge graph, driving innovation, and promoting environmental knowledge at both local and EU levels.