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On 2/14/14 6:56 AM, Frank Guerino
wrote:
I think Rich Cooper's feedback caused me to go back and do
some research. Along with some minor changes to their
definitions, I would flip Syntax and Grammar. The results would
look like:
A Data Dictionary defines "data" by giving you
details about that data element (e.g. Attribute/Field Name,
Description, Data Type, Constraints, etc.)
Yes, as any description of Data boils down to describing (or
defining):
1. entity types -- classes, subclasses, properties, and
subproperties
2. relation semantics -- covering domains, ranges, transitivity,
equivalence, symmetry, inverses etc..
A Term is a word that is accompanied by a
Definition.
Maybe "references" instead of "accompanied" since a Term has the
duality of denotation and description/definition reference.
A Vocabulary is usually a listing or grouping of
words that are common a domain of context (usually without
definition).
But FOAF and Schema.org are vocabularies, and I don't think anyone
would consider them devoid of definition.
A Glossary is a more detailed Vocabulary that is
tied to a specific and limited Context. Unlike a Vocabulary
that only provides a list or grouping of words or terms that
are common to a context, a Glossary provides the long name,
short name or acronym, and a description/definition. It
rarely gets into a things like synonyms and antonyms.
A Dictionary is often used interchangeably with a
Glossary but is often considered to handle much more, like
getting into phonetics, derivations, etc.
A Data Model is a representation of how to
aggregate and interrelate Data, which is defined by a Data
Dictionary. This includes but is not limited to things like
Primary and Foreign Key representations, how to deal with
permutations, time, history, and much more.
RDBMS colloquialism.
A Taxonomy is a categorization of "anything"…
Words, Glossaries, Types, etc. Taxonomies can take on
multiple forms, such as lists, hierarchies, interactive
facets, etc.
A Syntax is a set of rules for structuring
elements, such as words and symbols to create things like
phrases, sentences, and paragraphs.
A Grammar is a means of defining how words are
used to create meaning, within a Language.
A Language is the inclusion of all of the above.
You left out signs i.e., its signs, syntax, and entity relation
semantics. The roles that entities play in a relation is vital to
understanding what the relation means. Even something as basic as an
IRI denoting the subject, predicate, and object of a relation lays
the foundation for powerful insights what a particular relationship
implies.
An Ontology is the development of a combination of
one or more of all of the above with the intent to
facilitate higher order activities, such as communications,
translation, learning, understanding, teaching, and making
decisions.
At this juncture, I am of the opinion that Ontology and Data
Dictionary are synonyms modulo RDBMS marketing which has
successfully claimed (at least temporarily) ownership of:
1. data dictionary
2. database
3. data model .
In similar vein, RDF has made a play for:
1. vocabulary
2. ontology.
BTW -- I forgot to add Schema to my original question :-)
Related:
[1] http://bit.ly/1cchBvV -- My Glossary of Terms .
--
Regards,
Kingsley Idehen
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
Personal Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter Profile: https://twitter.com/kidehen
Google+ Profile: https://plus.google.com/+KingsleyIdehen/about
LinkedIn Profile: http://www.linkedin.com/in/kidehen
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