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Re: [ontology-summit] [ReusableContent] Communique proposal

To: ontology-summit@xxxxxxxxxxxxxxxx
From: John McClure <jmcclure@xxxxxxxxxxxxxx>
Date: Thu, 30 Jan 2014 15:21:43 -0800
Message-id: <52EADE87.6000105@xxxxxxxxxxxxxx>
Thanks all; this is my final thread on this topic, with a proposal I hope informed by the good comments received along the way. regards/jmc

As background, I refer to
  1. my observations that
    a) most ontologies are replete with mechanistically-produced owl:ObjectProperties with nounal names;
    b) accordingly, property hierarchies can naively/practically replicate class hierarchies;
    c) most ontologies have little if any capacity for tense- or deontic-related knowledge representations; and
    d) few bridges exist among ontologies of differing technical perspectives
  2. this specific definition for Predicate (grammar): "in predicate calculus (predicate logic, first order logic) ... the predicate of a sentence corresponds ... to the main verb and any auxiliaries that accompany the main verb, whereas the arguments of that predicate (e.g. the subject and object noun phrases) are outside the predicate"
  3. Verbnet as a candidate vocabulary; property reification as a technique; Alan Rector's presentation as inspiration; and for general guidance, lexical/linguistic markup and problem solving.
My objectives are
  1. to eliminate property definitions bloating ontologies
  2. to foreclose replicated property/class hierachies
  3. to promote tensal and deontic knowledge expressions
  4. to use native languages to the very maximum extent
Consequently the communique should urge that ontologies :
  1. characterize one's ontology with semantic classifiers
    • reference Class definitions published by Ontolog or others
  2. establish clear semantic functionality for all linguistic concepts/classes
    • minimally: nouns, verbs, prepositions, adjectives and adverbs
  3. use only dictionary-defined words and grammaticly correct expressions
    • reconsider necessity for camel-casing and manufactured words
This can yield salutory benefits for specific groups:
  1. System engineers: reduces the size of ontologies to be created & maintained
  2. Domain SMEs: aligns ontologies with their own, native-language, grammars and vocabularies
  3. Corpus analysts: clarifies text markup conventions and opportunities for integration
  4. Data scientists: reduces translations from frame-oriented ontologies to other/rigorous representations


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