Visual Context as a Way of Representing Technical Knowledge
Fedyuchenko Larisa Grigor'evna
Tyumen State University
Submitted: 14.12.2019
Abstract. Technical knowledge can be represented as a terminological database but such bases usually do not support contextual modeling, that’s why visual context is considered as one of the ways to represent technical knowledge in the structure of terminological databases. According to the author, iconicity and dynamism of visual context can serve as criteria of its identification. The analysis of technical articles has allowed identifying two types of visual contexts: knowledge-rich contexts and knowledge-poor contexts.
Dominikan A. I. Vidy kontekstov pri raznykh nauchnykh podkhodakh // Vestnik Tverskogo gosudarstvennogo universiteta. Seriya "Filologiya". 2017. № 4. S. 125-131.
Zabotkina V. I. Reprezentatsiya sobytii v mental'nykh modelyakh i diskurse // Vestnik Moskovskogo gosudarstvennogo lingvisticheskogo universiteta. 2016. Vyp. 7 (746). S. 66-74.
Kubryakova E. S. V poiskakh sushchnosti yazyka. Kognitivnye issledovaniya / In-t yazykoznaniya RAN. M.: Znak, 2012. 208 s.
Kubryakova E. S., Dem'yankov V. Z. K probleme mental'nykh reprezentatsii // Voprosy kognitivnoi lingvistiki. 2007. № 4. S. 8-16.
Larina T. Yu. Reprezentatsiya znanii i kognitivnoe prostranstvo khudozhestvennogo teksta // Simvol nauki. 2015. № 3. S. 139-143.
Luk'yanchenko E. A. K voprosu ponimaniya mental'noi reprezentatsii // Vestnik MGIMO-Universiteta. 2013. № 2. S. 167-169.
Ozherel'eva T. A. Kognitivnaya reprezentatsiya // ITNOU: informatsionnye tekhnologii v nauke, obrazovanii i upravlenii. 2019. № 3. S. 9-16.
Urubkova L. M. Kontekst v poznanii i perevode // Voprosy kognitivnoi lingvistiki. 2010. № 4 (025). S. 102-111.
Yazykoznanie. Bol'shoi entsiklopedicheskii slovar' / gl. red. V. N. Yartseva. Izd-e 2-e. M.: Bol'shaya rossiiskaya entsiklopediya, 2000. 688 s.
Akman V. Rethinking context as a social construct // Journal of Pragmatics. 2000. № 32. P. 743-759.
Anglin G., Vaez H., Cunningham K. L. Visual representations and learning: The role of static and animated graphic // Visualization and Learning. 2004. № 33. P. 865-917.
Barrie`re C. Knowledge-rich contexts discovery // Advances in Artificial Intelligence / ed. by A. Y. Tawfik, S. D. Goodwin. Berlin - Heidelberg, 2004. P. 187-201.
Blommaert J. Discourse. A Critical Introduction // International Journal of Applied Linguistics. 2007. Vol. 1. № 17. P. 146-152.
BP vice president says blowout preventer failed to stop Gulf spill because it had been altered [Elektronnyi resurs]. URL: https://www.cleveland.com/nation/2010/08/bp_vice_president_says_blowout.html (data obrashcheniya: 08.10.2019).
Dash N. S. Context and contextual word meaning [Elektronnyi resurs]. URL: https://www.researchgate.net/ publication/228339051_Context_and_Contextual_Word_Meaning (data obrashcheniya: 19.01.2020).
Dijk T. A. van. Discurso, Conocimientoe Ideolog?a // Cuadernos de Informaci?ny Comunicaci?n. Madrid: Universidad Complutensede Madrid, 2005. P. 285-318.
Evans V., Green M. Cognitive Linguistics: An Introduction. Edinburgh: Edinburgh University Press, 2006. 856 p.
Halliday M. A. K. Spoken and Written Language. Oxford: Oxford University Press, 1989. 128 p.
Harris Z. Language and Information. N. Y.: Columbia University Press, 1988. 120 p.
House J. Text and context in translation // Journal of Pragmatics. 2006. № 38. P. 338-358.
Meyer I. Extracting knowledge-rich contexts for terminography: A conceptual and methodological framework // Recent Advances in Computational Terminology. Amsterdam: John Benjamins, 2001. P. 279-302.
Mitkov R. Anaphora Resolution. L.: Longman, 2002. 220 p.
Monterde-Rey A. M. Relationship and dependency between linguistic and non-linguistic forms of concept representation // LSP and Professional Communication. 2002. № 2 (2). P. 31-48.
Working and mechanism of control valves [Elektronnyi resurs]. URL: https://www.youtube.com/watch?v=ntvxIQPOav8 (data obrashcheniya: 08.10.2019).
Русский
