In construction projects, effective communication and categorization are vital. CoClass and the Reference DesignationSystem (RDS) provide clear frameworks to facilitate this. CoClass is a classification system created to uniformlydescribe construction systems, aiming to avoid misunderstandings and ensure precise representation. RDS is aninternational naming convention for labelling systems and their elements. Reference Designation (RD), the outcomeof RDS, is a unique identifier that is both human and machine readable. To access or reuse this data in the future, itcan be published on the web. Despite the availability of modern classification systems for years, many companies stickto their old classification systems due to the significant time and cost required for upgrading. Therefore, this studyaims to explore the automation of RD generation in construction projects utilizing CoClass and RDS. Additionally, itseeks to enhance data accessibility and integration by generating URIs for RDs using ontology. The objective is todemonstrate the potential for cost and time savings through automation. A case study investigating six buildingcomponents within an office space, extracted from a BIM model, is carried out. Leveraging IfcOpenShell and Dynamoscripts, CoClass parameters are added to BIM model and used to automate RDs. The BIM data, structured as aknowledge graph, which then supported the development of ontology. The study results demonstrate successful partialautomation of RDs and RD based URIs, showcasing the potential for efficient data representation and exploration inSemantic Web applications. The study concludes with recommendations for future research and the importance ofAutomating RDs within the CoClass Framework.