Damage in infrastructure and logistics operations in ports have a major impact on eachother. While most of the damage in pavements can be attributed to the traffic on them, damaged pavements also have an impact on operations due to decreased transport speedor even redirection. Connecting data from both fields can help find correlations and improve maintenance for both areas.In this thesis multiple connected ontologies are used to model the relations between road infrastructure and traffic. More precisely three existing ontologies from road maintenance management on the topics of road structure and layout, damage and maintenance are connected to a newly developed ontology on logistics operations in ports. By using multiple ontologies as a platform to relate data from diff erent sources, the solution is modular – when other areas of expertise need to be connected it is easy to add another ontology and connect it to the already existing ontologies by detecting connections between them. With these connected ontologies it is possible to link traffi c on a road section to the road structure in that section, to damage and to maintenance. By being able to model timelines it is possible to see eff ects of increased or decreased traffi c, effi ciencyof maintenance measures or infl uences due to the road structure and react to them if necessary. The newly constructed port in Norvik south of Stockholm in Sweden serves as a casestudy. A developed application, which visualises the use of connected data from different ontologies, is therefore equipped with exemplary data for Norvik.