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In computer science, a weak ontology is one that is not sufficiently rigorous to allow software to infer new facts without an intervention by human beings (the end users of the software system).
This distinction does not apply to the philosophical term, because in philosophy all inference is performed by human beings. Accordingly, from the point of view of computer science, philosophers do only weak ontology, except to the degree that their work converges with mathematics, Boolean logic, and other subfields in which automatic computation is known to be possible.
A weak ontology is adequate for many purposes, including education, where one teaches a set of distinctions and trying to induce the power to make those distinctions in the student. Stronger ontologies only tend to evolve as the weaker ones prove deficient. This phenomenon of ontology becoming stronger over time parallels observations in folk taxonomy about taxonomy: as a society practices more labour specialization, it tends to become intolerant of confusions and mixed metaphors, and sorts them into formal professions or practices. Ultimately, these are expected to reason about them in common, with mathematics, especially statistics and logic, as the common ground.
On the World Wide Web, folksonomy in the form of tag schemas and typed links has tended to evolve slowly in a variety of forums, and then be standardized in such schemes as microformats as more and more forums agree. These weak ontology constructs only become strong in response to growing demands for a more powerful form of search engine than is possible with keywording.
Weak ontology has a different, unrelated, meaning in political theory, where it describes a pragmatic approach that seeks to avoid foundationalist commitments. The term was first used in this context by Stephen K. White, professor of politics at the University of Virginia.
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