A high level of fragmentation within the Architecture, Engineering, and Construction industry leads to the use of various tools and making it challenging to enforce consistent standards. The use of ontologies, a core component of Semantic Web technologies, along with Linked Data, can significantly improve the interoperability, reliability, and searchability of product data. This research expands and enriches an ontology of a light fixture product named Notor (Kebede et al., 2022) which aligns the properties of the product with properties from CEN/TS 17623:2021 standard. This broader ontology named Notor Product Properties Ontology (NPPO) allows to enhance the utility of the ontology in the construction sector and facilitate defining Information Requirements. In this study, the ontology was enriched by mapping its terms to equivalent entities using the buildingSMART data dictionary and the Swedish CoClass classification system, expanded with Building Product Ontology and Building Topology Ontology, and specifies the connection of the model of a light fixture to a room type where this model could be installed. A case study was conducted to simulate the process of analysing the lighting performance in a conference room using NPPO. Results show the practical applicability of the ontology in real-life situations where the light specialists can use the SPARQL queries to find the information about a relevant model of light fixture which is stored in an external manufacturer’s database. This approach of ontology-based information flow could improve interoperability and reliability of data in the AEC industry and increase manufacturers' ability to offer their products universally.