In the context of intelligent traffic systems, the latest developments focus on elevating the infrastructure's capability by creating intelligent solutions unlocked by industrial revolution 4.0. Digitalization elevates the capability of sub-systems in the context of the urban environment and accelerates business-as-usual processes. In this context, practitioners strive to integrate the information streams from sub-systems for a unified, accurate, accessible and coherent view of information from diverse sources, enabling better decision-making and operational efficiency. However, the format of information streams is vendor-specific and introduces a burden while integrating the data streams.In this project, on the one hand, in the automotive domain vehicles rely on high-resolution maps and semantics of the environment. To this end, a growing sector emphasizes smart infrastructure through the sensory collection and analytics of on-site occurrences on the roads and providing it to the end users and the vehicles, entities such as HD Map providers. On the other hand, there exist vital entities in the operation of intelligent traffic infrastructure that share information about the traffic actors and incidents, such as National Access Points (NAPs). Finally, there are entities whose day-to-day operation necessitates information collection and site visits for on-site observations of the road incidents and direct them back to their business processes, entities such as road operators, local authorities, and municipalities, to name a few.The developed prototype strives to perform data integration of sources of information triggering roadwork and construction occurrences while mitigating interoperability issues using graph databases, ontologies and Linked Data. This design project steps in a niche application of data integration and interoperable infrastructure in the context of smart cities, enabling the infrastructure to utilise the efforts of operational actors in their processes
