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Hi Folks,
I think it is clear that except for trivial, academic cases RDF Schema
and OWL do not have the robustness to capture the dynamically changing
nature of real-world semantics. To do so, we must go beyond these
ontology languages.
I have compiled a somewhat random (chaotic) list of statements which I
feel expresses much of what has been discussed:
- Ontology languages such as RDF Schema and OWL provide the ability to
*statically* capture semantic relationships.
- Semantics is constantly changing. All of life is constantly
changing. In fact, change is the only constant.
- Capturing in an ontology constant change would require massive,
full-time ontology maintenance.
- The Zen art of mindfulness teaches how to see life (and change) as it
really is by being "here and now".
- The technology equivalent to the Zen art of mindfulness *may* be to
continuously sample communications. That is, keep up with evolving
semantics by continuously sampling real communications. Then apply
heuristic and statistical techniques to deduce semantics.
This table attempts to contrast what ontologies provides today vice
what is required:
Ontology Beyond Ontologies
-----------------------------------------------
Equilibrium, stability, Structure, pattern,
static, deterministic self-organization
dynamics
Identical resources Resources separate
and different
Relationships are subtypes Relationships are
and synonyms patterns and possibilities
No real dynamics in the Semantics is constantly
sense that everything is coalescing, decaying,
statically, declaratively changing
expressed
Sees subject as Sees subject as inherently
structurally simple complex
Semantics as graphs Semantics as high-complexity
science
Comments? /Roger
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