Affiliations: CSIRO Land and Water, Private Bag 10, Clayton South, Vic. 3169, Australia. E-mail: Simon.Cox@csiro.au
Abstract: We introduce new OWL ontologies for observations and sampling features, based on the O&M conceptual model from OGC and ISO 19156. Previous efforts, (a) through the W3C SSN project, and (b) following ISO rules for conversion from UML, had dependencies on elaborate pre-existing ontologies and frameworks. The new ontologies, known as om-lite and sam-lite, remove such dependencies, and can therefore be used with minimal ontological commitment beyond the O&M conceptual model. Time and space concepts, for which there are multiple existing solutions, are implemented as stub-classes, and patterns for linking to the existing ontologies are described. PROV is used to support certain requirements for the description of specimens. A more general alignment of both observation and sampling feature ontologies with PROV is described, as well as mappings to some other observation models and ontologies.