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Ontological Semantics

MIT Press (2004)

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  1. Professional Preparation of Future Teachers of Vocational Training in the Transport Area of Expertise with Use of the Author’s Educational Application.Mykhailo Pohorielov, Olena Lavrentieva, Volodymyr Bondarenko, Igor Britchenko, Andrii Dorohan & Aleksandr Uchitel - 2020 - AET 2020 Proceedings of the 1st Symposium on Advances in Educational Technology 1:702-713.
    The paper presents the content, as well as approaches to the use in the educational process of the author’s Electronic educational methodical complex (EEMC) “Construction of car”. The course is created for students of the speciality 015 Professional education (Transport, the operation and repairing of automobiles). Its content covers general topics including the study of a car engine, electrical equipment and automotive driveline. The created electronic course embraces, in addition to textual material, illustrations, dynamic models, instructions, manuals, textbooks, reference books (...)
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  • Ontologies for the life sciences.Steffen Schulze-Kremer & Barry Smith - 2005 - In Schulze-Kremer Steffen & Smith Barry (eds.), Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics, vol. 4. Wiley.
    Where humans can manipulate and integrate the information they receive in subtle and ever-changing ways from context to context, computers need structured and context-free background information of a sort which ontologies can help to provide. A domain ontology captures the stable, highly general and commonly accepted core knowledge for an application domain. The domain at issue here is that of the life sciences, in particular molecular biology and bioinformatics. Contemporary life science research includes components drawn from physics, chemistry, mathematics, medicine (...)
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  • Ontologies for the life sciences.Steffen Schulze-Kremer & Barry Smith - 2005 - In Schulze-Kremer Steffen & Smith Barry (eds.), Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics, vol. 4. Wiley.
    Where humans can manipulate and integrate the information they receive in subtle and ever changing ways from context to context, computers need structured and context-free background information of a sort which ontologies can help to provide. A domain ontology captures the stable, highly general and commonly accepted core knowledge for an application domain. The domain at issue here is that of the life sciences, in particular molecular biology and bioinformatics. Contemporary life science research includes components drawn from physics, chemistry, mathematics, (...)
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  • Guest-editorial.Olivier Bodenreider - 2008 - Applied ontology 3 (4):201-203.
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  • A Computational Model of Linguistic Humor in Puns.Justine T. Kao, Roger Levy & Noah D. Goodman - 2016 - Cognitive Science 40 (5):1270-1285.
    Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures—ambiguity and distinctiveness—derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly with human (...)
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