An Ontology Design Pattern for Dynamic Relative Relationships

This research describes an ontology design pattern for dynamically conceptualizing, establishing, tracking, and updating relative relationships and dependencies between entities (real or representational) of a physical, temporal, and/or importance scope. We present a Relative Relationship (RR) Pattern, associated axioms, an implementation of current geometric scale translation research, a detailed example, and suggestions for other potential use cases. It provides data hooks that allow dynamic updating of linked data as changes occur in preference systems, scaling systems, or time expiration parameters; additionally, it separates the false notion that level of detail is always synonymous with scope. Furthermore, we discuss how this design pattern potentially acts as an intermediate step to assist the transition between open linked-data and decision support frameworks that need to readily update changes within the accurate data over modern, distributed data access points.