2026 IAOS Conference

2026 IAOS Conference

Environmental Data Systems in Egypt: An Ontology and Metadata-Based Framework

Conference

2026 IAOS Conference

Format: CPS Abstract - IAOS 2026

Session: Data systems innovation

Tuesday 12 May 2:30 p.m. - 4 p.m. (Europe/Vilnius)

Abstract

Environmental data systems face challenges due to increasing data volumes and the involvement of multiple institutions in data production and management. This has led to significant technical and semantic heterogeneity, limiting effective data exchange, integration, and reuse. In Egypt, environmental information infrastructures are fragmented, with persistent data silos within institutions that constrain evidence-based environmental policymaking and sustainable resource management.
Interoperability has emerged as a critical requirement for maximizing the value of environmental data. Recent studies emphasize the importance of semantic web technologies, ontology-driven frameworks, and enriched metadata architectures in addressing interoperability challenges by enabling conceptual harmonization and improving semantic clarity. These approaches align with the evolving FAIR principles, which recognize semantic interoperability as essential for meaningful data sharing and reuse.
This study examines the current state of interoperability across environmental data systems in Egypt and proposes a conceptual framework that integrates environmental ontologies with standardized metadata strategies to enhance semantic and structural integration. An analytical methodology is employed based on a systematic review of relevant scientific literature, existing interoperability models, and selected environmental data systems. The proposed framework was conceptually validated against selected national environmental data systems to ensure contextual relevance.
The findings demonstrate that integrating ontology-based semantic models with standardized metadata can significantly improve semantic interoperability among fragmented environmental data systems, enhancing data discoverability, consistency, and reuse across organizational boundaries. The proposed framework has potential for compliance with FAIR principles, particularly in semantic interoperability, while offering a scalable and context-aware approach to national environmental data integration. The study recommends adopting a coordinated national interoperability strategy that institutionalizes ontology and metadata standards to strengthen environmental governance and support evidence-based decision-making in Egypt.