Each of the graphs in the SAWGraph project is built upon a set of ontologies that define the structure and relationships within the data.
Ontologies define the concepts and categories and how they relate. SAWGraph reuses and extends existing ontologies to ensure consistency and interoperability across datasets.
Each graph also has dataset specific ontology extensions that preserve the original data structure and semantics while aligning it with the overall SAWGraph framework.
Ontologies Overview
SAWGraph (PFAS) KG
Ontology
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The Contaminant Observations and Samples Ontology (ContaminOSO)
The core ontology for the SAWGraph knowledge graph, defining key concepts and relationships related to environmental sampling and release of contaminants. An extensions of SOSA
SAWGraph uses topological enrichment with S2 and Administrative Region 3 (county subdivisions and towns) in order to semantically link data in all graphs via their location. This is further outlined in our paper [3]
Ontology
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SAWGraph Spatial Ontology
A KWG-Ont extension that simplifies querying of spatial predicates by adding a superproperty for all spatial relations (excluding disjoint)