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As an answer to previous question yes stochastic models based among
other techniques on Markov chain and yes polynomial trees as in a
Now about the semantic web and non-deterministic issues.
I think that the web is more deterministic than it seems to be a first
sight. For instance, why some sites have more traffic than others?
Simply, because they are better positioned in search engines like
Google. Why are they better positioned because their site is structured
in some ways that search engines like and moreover a lot of other well
ranked sites cite them (Google is a citation based classification
system). However, this brings some interesting perspective on the
a) Attractors (site having a lot of traffic) are associated to some
keyphrases (a main theme and some related concept - see how adsense is
working). Thus we can model the attractor in relation to ontologies by
associating to a topic/class/object/keyphrase a set of sites.
b) some people connected on the web propagate
keyphrases/brands/concepts. These connectors act as gate keepers or as
c) it is obvious that up to now, ontologies were restricted to some
domain but not to the web at large. When knowledge is highly codified it
is most of the time structured with ontology. When it is mostly tacit,
nada, no ontology, just behavior and hidden knowledge in the brain of
d) Search engine are the real semantic web and they connect URI with
words. More and more as demonstrated with the "~" operator (in Google)
or with Adsense, they possess the concept of association or related
concept to a theme. Search engines own the semantic web and ontologies.
Didier PH Martin