Happy New Year to everyone!
Coming from the modeling side, I may have a slightly different view on this
discussion. For me, a model represents a viewpoint of a problem. As such,
several models can be used to describe the some world referent (real or virtual
worlds and systems). The models may even seem to be contradictive, but all
viewpoints are necessary to understand and/or describe the world referent.
We are using ontologies to describe models. As such, we are interested in data,
processes, and constraints. Ontologies are great as they allow us to
communicate different data structures used within or using different processes
under different constraints in a consistent and common form. While the ontology
as such describes the viewpoint/model in a consistent and common way, we can
now use the different ontologies describing different viewpoints on one system
or different systems that have to be composed into a new system of systems and
find out if we can mediate between these views. Semantic lossless mediation
between viewpoints/models is the objective (or dream) of our work.
As such, our view on standards is more directed on the ontological means that
are needed to capture all aspects of a viewpoint and document theses aspects in
a machine understandable way.
We realize that models are the product of simplification and abstraction, and
as such result in formal specifications of conceptualizations. The objective of
a standard is NOT to make all models equal, but to enable to lossless mediation
between complete specifications.
We build models because the world as a whole is too complicated to be
understood. We need different models to describe the different views. We cannot
come up with one model, as this model would either be not complete or not
understandable ... so we cannot come up with one ontology describing one
viewpoint as well.
Standards will help to enable the homogeneous interpretation of heterogeneous
views to gradually improve the knowledge about the modeled part of the world.
Our goal is to use ontologies for systems engineering, starting with capturing
requirements in form of ontological expressions that can be proven and
resulting in machine understandable annotations for system services that can be
used to support lossless mediation and composition for selection and
orchestration of services in SOA or systems on SoS.
All the best
Andreas (01)
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