Mark Baker wrote:
To do this, knowledge management techniques were required - but RDF
was not a good fit.  Though there are various environmental ontologies
(the best set I found being from NASA), the agency's needs were for
knowledge organized around the "themes" they were interested in and
the specific issues their scientists were identifying.  In other
words, they wanted to develop a dynamic knowledge model based on the
information they gathered, not on a static pre-existing set of
schemas.
    
That sounds like a good fit for RDF to me.  In fact, the only use I've
ever made of RDF has been with dynamic models.  I'd also say that the
set of all data sets which is suitable for modelling with Topic Maps
is essentially equivalent to the set of data sets suitable for
modelling with RDF ...
  
The similarity between the domains of the two approaches is confusing, isn't it.  Here is a quote from one of the blog entries I mentioned previously, in which I try to explain the difference between the RDF stack and Topic Maps:
RDF is essentially an implementation technique for the Semantic Web: “The RDF specifications provide a lightweight ontology system to support the exchange of knowledge on the Web”. Topic maps, on the other hand, are focused heavily on making it easier to find what you are looking for: “Topic Maps is a very explicit form of knowledge representation and it forces you to consider some of the issues that are critical when it comes to optimizing findability. It focuses a lot on how to name and how to identify subjects.”
Jan may have more to say on this.
--
All the best
Keith

http://keith.harrison-broninski.info


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