Semantic Data Link: Bridging Domain-Specific Needs with Universal and Interoperable Semantic Models

Abstract

The emergence of data-driven systems necessitates enhanced interoperability across diverse data ecosystems. Traditional approaches to semantic interoperability have been hindered by the complexity and specificity of ontologies, demanding significant expertise and resources for their development and maintenance. This paper introduces the Semantic Data Link (SDL) framework, a novel approach that aims to democratize data description and enhance semantic interoperability. SDL offers a domain and ontology-independent methodology, focusing on a multi-layered architecture that emphasizes decentralized semantics and categorizes data into definitional, structural, and contextual aspects. Developed as part of the Gaia-X 4 Future Mobility initiative, SDL is particularly pertinent to the mobility sector, where real-time data exchange and interoperability are crucial. This framework promises to bridge the gap between varying levels of expertise in semantic technologies and accelerate the development of semantically interoperable applications and services. We provide an in-depth discussion on the conceptual framework, design rationale, and implementation of SDL. The paper concludes with insights into the practical implications of SDL and prospective directions for future research in the quest for a seamless, interoperable data landscape.