Oct 6 2009: added link, changed page title.
Peter Suber was a research professor at Earlham College until recently. His tutorials on logic and logical mathematics are among the most concise and accessible to be found on the web, and probably ever written.
From the preface to "Translation Tips":
In this hand-out I treat the notation of truth-functional propositional logic and first-order predicate logic as a language, and give guidance on translating from English into this foreign language.
Revised Dec 2 2008:: many new links
Conceptual modeling has two disticnt aspects: one os concepts and the other is modeling. That may sound trivial, but within that statemnt are complexities and important consequences. One can be come almost mysitcal about it.
Republished Jan 16 2009, from a an old tutorial article. Will be expanded and revised in coming months. Also see InterWiki on Logical Reasoning.
Updated Oct 3 2008:
The representation of knowledge in general, particularly as it applies to the SemWeb.
From the KR.org site:
Principles of Knowledge Representation and Reasoning, Incorporated (KR, Inc.) is a Scientific Foundation incorporated in the state of Massachusetts of the United States of America concerned with fostering research and communication on knowledge representation and reasoning.
This article on ontologies in bioinformatics seeks to resolve problems in the standardization of nomenclature in the domain of biology and bioinformatics for text mining and data integration. While intended primarily for biotech, it is very concise and well-formulated and useful to anyone constructing an ontology.
From the article:
Updated: July 12 2008
A trove of links to old articles at Hillside.net.
An old article but still pertinent. I'd like to believe that logic never goes out of style, but given the history of ...
The general definition of ontology at Wikipedia ( versus the computer science definition given in the main link ) is "a study of conceptions of reality and the nature of being". In some ways, the general definition is more appropriate to modeling organizations - the target audience for an organizational ontology is people, not computers.
The shortest and most intuitive definition of term ontology is 'a description of things that be'. For most purposes, it may be the best definition.