Conceptual scaling is a method, developed in the framework of Formal Concept Analysis (FCA), that transforms a many-valued context (a collection of objects, described by attributes with values, such as name, size or color) into a formal context (a binary schema from which formal concepts are derived). Relational scaling extends conceptual scaling, by taking relations between objects into account. Previous work applies relational scaling to a relational database, transforming the relational database into a relational structure. Relational structures play the role of formal contexts in a relational variant of FCA. In this paper, we present a similar approach, which applies relational scaling to RDFS ontologies.