Safety engineering processes for automated driving systems (ADS) require representations of the operational environment. The operational design domain (ODD) is a fundamental artifact demanded by standards such as ISO 21448 and ISO 34503. The ODD specifies the environment in which the ADS operates. It therefore constraints under which conditions and in which environment the ADS can operate. The ODD is based on an ontology that describes relevant elements and aspects of the environment. Today, most ontologies that describe the public traffic environment aim to support validation and verification activities. However, the ODD must be considered by various other stakeholders and activities. The problem is that different activities focus on specific aspects of the environment so that one ontology cannot fit all. Therefore, it is necessary to tailor the ontology toward the specific activity. The tailored ontology must improve activity-specific quality criteria to provide a benefit over the original ontology. In this position paper, we want to motivate the need for practically applicable approaches to analyze operational environments for specific safety engineering processes. We discuss the benefits of a guideword-based method to tailor ontologies for safety engineering processes compared to purely data-based methods.