A good OWL ontology should provide an explicit description of the necessary (and possibly sufficient) attributes and relationships between the named entities and/or datatype values. If the features are explicitly modeled, then there is no need to build the disjoint hierarchy. A disjoint hierarchy is necessary if you make arbitrary decisions about what makes one entity different than another. These kinds of ontologies are rampant in biology. Instead, you accurately describe the entity by placing class restrictions on it. The reasoner will infer the hierarchy on your behalf and also identify inconsistencies automatically.
Let's take metrology ontology first.
I see that "NamedTechnique" is a parent for (all?) experimental technique classes, but this isn't necessary. By default a class in the ontology is named, and if they are a type of experimental technique, then they are named.
GPC_DRI is asserted to be "has type" some "Chemical Analysis Technique", and "Gel permeation chromatography". What is the relationship between these types? While all chemical analyses techniques are not gel permeation chromatography, are all gel permeation chromatography types of chemical analysis techniques? If so, what makes the latter true? Is it that it a chemical analysis technique involves a chemical, and so does a gel permeation chromatography? This kind of explicit modeling of what is involved will help you autogenerate the hierarchy.
they have worked out a number of issues with respect to instrumentation.
-=Michel=-