Tambov
All-Russian academic journal
“Issues of Cognitive Linguistics”

TYPES OF SYSTEMIC RELATIONS BETWEEN TECHNICAL TERMS IN THE ACADEMIC KNOWLEDGE NETWORK MODELS

TYPES OF SYSTEMIC RELATIONS BETWEEN TECHNICAL TERMS IN THE ACADEMIC KNOWLEDGE NETWORK MODELS


Author:  M.N. Latu

Affiliation:  Pyatigorsk State University

Abstract:  The article is devoted to the issues of academic knowledge organization and studying the character of systemic relations of technical terms. The author considers various sets of links that mostly express the correlation between the elements of naïve knowledge, which are defined by researchers while constructing semantic networks.

As a result of analysing the terminologies of astrophysics, nanotechnology and some other languages for special purposes that represent the priority spheres of academic knowledge, the author defines a body of more than 40 most frequent systemic relations that exist between academic concepts expressed by technical terms. Such prototypic relations reveal the peculiarities of systemacy of a technical term linked up to a number of adjacent terminology units within the domain and can be used to construct terminology networks. The author also describes the specificity of each systemic relation.
A number of complex relations based on the combination of two other certain links are put in context.

The article highlights some peculiarities of language representation and verbal expressions of the systemic relations that pave the way towards further study.

Keywords:  semantic relation, typology, technical term, systemacy, concept, terminological network.

References:  Alekseeva L.M., Vasilenko D.V. Sistemnost' terminologii // Vestnik Permskogo universiteta. Rossijskaya i zarubezhnaya filologiya. 2015. № 4 (32). S. 5-13.

Bashmakov A.I., Bashmakov I.A. Mekhanizmy nasledovaniya, vyyavleniya i razresheniya protivorechij v obobshchennoj modeli predstavleniya predmetnoj oblasti. CH. II // Izvestiya RAN. Teoriya
i sistemy upravleniya. 1995. № 3. S. 175-189.

Boldyrev N.N. Konflikt obydennogo i nauchnogo znaniya v nauchnyh issledovaniyah // Kognitivnye issledovaniya yazyka. 2017. Vyp. XXX.
S. 35-39.

Golovchiner M.N. Vvedenie v sistemy znanij. Kurs lekcij. Tomsk: TGU, 2011.

GOST R, 2009. Nanotekhnologii. Terminy
i opredeleniya. M.: Standartinform. 34 s.

GOST ISO/TS 80004-7-2014 Nanotekhnologii. CH. 7. Nanotekhnologii v medicine. Terminy
i opredeleniya M.: Standartinform. 7 s.

GOST R ISO 10801-2015 Nanotekhnologii. Nanoaehrozoli dlya ocenki toksichnosti pri ingalyacionnom postuplenii v organizm. Generirovanie metodom ispareniya/kondensacii. M.: Standartinform. 21 s.

GOST R 56662-2015. Nanotekhnologii.
CHast' 8. Processy nanotekhnologicheskogo proizvodstva. Terminy i opredeleniya. M.: Standartinform. 29 s.

GOST R 56550-2015. Nanotekhnologii. Nanoporoshok dvuokisi titana. Osnovnye harakteristiki i metody ih opredeleniya. M.: Standartinform. 6 s.

Zigel' F. Zanimatel'naya kosmonavtika. M.: Izd-vo Ripol Klassik, 2013.

Kobozeva I.M. Lingvisticheskaya semantika: uchebnoe posobie. M.: URSS, 2000.

Kuznecov I.P. Rasshirennye semanticheskie seti dlya predstavleniya i obrabotki znanij // Sistemy i sredstva informatiki. 1993. Vyp. 4. S. 70-83.

Kuchuganov V.N. Associativnaya semantika situacij i syuzhetov // Iskusstvennyj intellekt i prinyatie reshenij. 2014. № 2. S. 42-51.

Latu M.N. Principy postroeniya terminologicheskih setej: tipy vershin i otnoshenij // Voprosy kognitivnoj lingvistiki. 2016. № 4.
S. 142-149.

Latu M.N., Levit A.A. Produktivnye semanticheskie otnosheniya terminov kategorij «Process», «Harakteristika», «Lokus» // Voprosy kognitivnoj lingvistiki. 2017. № 4. S. 123-136.

Lejchik V.M. Terminovedenie: predmet, metody, struktura. M.: KomKniga, 2006.

Manakin V. N. Sopostavitel'naya leksikologiya. Kiev: Znaniya, 2004.

Nosacheva M.I. Tipy semanticheskih
svyazej mezhdu komponentami kompozitnyh
klinicheskih terminov i ih sootnosheniya
s gnoseologicheskimi kategoriyami kliniche-
skoj mediciny // Metodicheskie i lingvis-ticheskie aspekty greko-latinskoj medicinskoj terminologii: materialy vserossijskoj nauchno-uchebno-metodicheskoj konferencii. 2016.
S. 171-174.

Osipov G.S. Metody iskusstvennogo intellekta. M.: FIZMATLIT, 2011.

Parnovskij S. Kak rabotaet vselennaya. Vvedenie v sovremennuyu kosmologiyu. M.: Al'pina Pablisher, 2017.

Portal Astronet. URL: http://www.astronet.ru

Pospelova YU.YU. Tipy svyazej v leksiko-semanticheskom pole «intellektual'noe vzaimodejstvie» // Vestnik Tambovskogo universiteta. 2007. № 10. S. 50-52.

Savotchenko S.E., Proskurina E.A. Pokazateli semanticheskih svyazej informacionno-poiskovyh sistem // Nauchnye vedomosti. 2013.
№ 1. S. 145-151.

Semenov YU.A. Semanticheskie seti. URL: http://book.itep.ru/10/sem_net.htm

Slovari i ehnciklopedii na Akademike. URL: https://dic.academic.ru

Slovar' Rosnano. URL: http://thesaurus. rusnano.com

Tolmachev S.P., Tolmacheva E.S., Zamkovec S.L. Tekhnologii baz znanij i dannyh. Minsk: Sovremennye znaniya, 2008.

Hopkins D. Tolkovyj slovar' anglijskih terminov po astronomii i astrofizike. M.: Izd-vo «Mir», 1980.

SHarafutdinova N.S. Leksiko-semantiche-skie processy v nemeckoj aviacionnoj ter-minosisteme. Ul'yanovsk: UlGTU, 2016.

SHafikov S.G. Teoriya semanticheskogo polya i komponentnoj semantiki ego edinic: uchebnoe posobie. Ufa: Izd-vo BashGU, 1999.

Arauz L., Faber P. Natural and contextual constraints for domain-specific relations // Proceedings of the Workshop Semantic Relations. Theory and Applications. 2010. P. 12-17.

Hovy E.H. Comparing sets of semantic relations in ontologies. In Green R., Bean C.A., Myaeng S.H. (eds.), The Semantics of Relationships: An Interdisciplinary Perspective. Dordrecht: Kluwer, 2002. P. 91-110.

Acknowledgments:  The author expresses his gratitude to the Ministry of Education and Science of the Russian Federation that financially supported the study: project No. 14.Z56.18.895-MK “The integrated cognitive study of language representation of systemic relations between technical terms in applied models of academic knowledge organization”.

For citation:  Latu, M. N. (2018). Types of systemic relations between technical terms in the academic knowledge network models // Voprosy Kognitivnoy Lingvistiki, 4, 134-142. (In Russ.).

Pages:  134-142

Back to the list



Login:
Password: