This paper provides a case study used to illustrate how to ease the task of Topic Map creation through a multi-stage modularized process. The first stage is hand authoring a relatively invariant “ontology” Topic Map. This consists of defining the ontology of types and associations that capture the data model for a particular subject domain. The assumption is that this ontology would be relatively stable over time, and a good candidate for reuse. The second is generating additional Topic Maps through an algorithmic process (XSLT) applied to XML document instances. The third is hand authoring those things not captured in the first two stages. This consists of the capture of information not directly discernible from the markup, or stored in non-XML resources. The resultant Topic Maps are merged giving a Topic Map that can be as rich as if completely hand authored. We present the source documents and code (stylesheets) used in an exploratory implementation of this approach, and lay out a more generalized approach to using this methodology. We finish by identifying possible issues with this approach, as well as enumerating alternatives, and stating the conclusions we were able to infer from our exploration.