SUO: Expressive Challenge
Candidate super-ontologies should be rigorously tested in each area
listed in the Project Authorisation ie data interoperability,
information search and retrieval, automated inferencing, and natural
language processing.
For data interoperability, one use case or "Challenge Problem" is
to unify different accounting taxonomies such as US GAAP and
International Accounting Standard about to be mandated in the EU.
SUMO is already used in a financial accounting ontology, so it
would not be an unreasonable scenario.
Because of resource limitations, this would need to be more of
a sketch than a complete mapping. Maybe one of the Big 5 firms could
complete the task?
Once you have data interoperability, a search and retrieval capability
follows.
For automated inferencing, I suggest that the 'Units of Measure'
subontology be used for dimension checking. A use case could be
borrowed from either EPISTLE (pipe dimensions) or CellML (
electro physiology equations), or the like. The important test
here is to have machine checkable representations of the sources,
and clearly that is missing at the moment. It is embarrassing that
superontologies are being offered that have not even been syntax-
checked. This test would overcome that point.
For natural language processing, perhaps we could invite Jae-Ho Kim
http://reliant.teknowledge.com/IJCAI01/Kim.html to suggest one.
John Sowa has already a use case involving understanding the
business newsfeed from a reputable source like Wall Street Journal.
I understand these feeds are marked up in either SGML or NEWSML,
making the task even easier.
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