Geospatial information is of interest to a wide range of scientific analysis and is used to support interoperable solutions as well as the vision of “geo-enabling” the Web. Formalization of geospatial semantics is therefore of interest to a wide set of communities in support of a richer, more semantic Web with support services. The Spatial Ontology Community of Practice (SOCoP) has been engaged in a range of activities and collaborations that support this goal of a geo-enabled Web. Of particular interest is development of small, modular geospatial ontologies that can serve as building blocks for larger, publically available ontologies. These small ontologies are developed in 2–3 day long workshops called VoCamps. Workgroups are formed around defined topics and start a structured process of vocabulary and conceptual model development aimed at producing usable and reusable ontology design patterns (ODPs) that address reoccurring problems. The OPDs are grounded in real, existing data data such as available for interrelated patterns on Motion, Path and Trajectories. Geo-patterns express domain ideas in simple and intuitive ways using a handful of concepts and relations for spatiotemporal properties & geographic knowledge. The overall organizing vision of the geospatial VoCamps is to create a Core of related, modular ODPs over a series of VoCamps and related meetings. The target ontological content of this so called Descartes-Core would be a constellation of related, extensible, aligned group of ODPs which can serve as composable building blocks for a range of purposes. To date 7 workshops with a geospatial focus have been held and a range of ODPs produced such as illustrated by a semantic (annotation) trajectory pattern which is built on prior patterns and demonstrates applicability to a range of data. It, like other patterns, is also extendable and can be made more specific for particular purposes as well as being aligned to a range of external ontologies to support interoperability based on extant semantics is other ontologies.