Designing Linguistic Ontologies for Training Information Systems

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dc.citation.epage68
dc.citation.spage58
dc.contributor.affiliationState University of Infrastructure and Technology
dc.contributor.affiliationNational Aviation University
dc.contributor.authorTkachenko, Olha
dc.contributor.authorTkachenko, Kostiantyn
dc.contributor.authorTkachenko, Oleksandr
dc.coverage.placenameЛьвів ; Харків
dc.coverage.placenameLviv ; Kharkiv
dc.coverage.temporal22-23 April 2021, Kharkiv
dc.date.accessioned2022-05-23T10:50:18Z
dc.date.available2022-05-23T10:50:18Z
dc.date.created2021-05-04
dc.date.issued2021-05-04
dc.description.abstractThe article discusses the problems of designing linguistic ontologies for educational information systems. An approach to the formalized description of linguistic ontologies is considered, taking into account the concepts of subject areas of training information systems and the relationship between these concepts. The thesaurus of the training information system, built on the basis of linguistic ontologies, is considered.
dc.format.extent58-68
dc.format.pages11
dc.identifier.citationTkachenko O. Designing Linguistic Ontologies for Training Information Systems / Olha Tkachenko, Kostiantyn Tkachenko, Oleksandr Tkachenko // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 58–68.
dc.identifier.citationenTkachenko O. Designing Linguistic Ontologies for Training Information Systems / Olha Tkachenko, Kostiantyn Tkachenko, Oleksandr Tkachenko // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 58–68.
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/56821
dc.language.isoen
dc.relation.ispartofComputational linguistics and intelligent systems, 2021
dc.relation.references[1] G.Z. Liu, A Key Step to Understanding Paradigm Shifts in E-learning: Towards Context-Aware Ubiquitous Learning, British Journal of Educational Technology, 2017. Vol. 41. № 2. pp. E1-E9.
dc.relation.references[2] V.A. Trainev, New information communication technologies in education, Moscow, Dashkov and K, 2018. (in Russian).
dc.relation.references[3] Matthew U. Scherer, Regulating artificial intelligence systems: risks, challenges, competencies, and strategies, Harvard Journal of Law & Technology Vol.29, № 2, Spring 2016.
dc.relation.references[4] ISO 25964-1:2011, Thesauri and interoperability with other vocabularies. Part 1: Thesauri for information retrieval. Geneva: International Organization for Standards, 2011.
dc.relation.references[5] G. Miller, Nouns in WordNet. WordNet – An Electronic Lexical Database. The MIT Press, 1998, pp. 23-47.
dc.relation.references[6] O. Тkachenko, А. Тkachenko, К.Тkachenko, Ontological Modeling of Situational Management, Digital platform: information technology in the sociocultural area. Vol. 3. № 1 (2020). pp. 22-32.
dc.relation.references[7] Kamran Munira, M. Sheraz Anjumb, The use of ontologies for effective knowledge modelling and information retrieval. 2017. URL: https://www.sciencedirect.com/science/article/pii/S2210832717300649. doi: 10.1016/j.aci.2017.07.003.
dc.relation.references[8] S. Nirenburg, Y. Wilks, What’s in a symbol: Ontology, representation, and language, Journal of Experimental and Theoretical Artificial Intelligence, 2001. Vol. 13(1). pp. 9-23.
dc.relation.references[9] S.E. Greger, S.V. Porshnev, Building an ontology of information system architecture, Fundamental Research, № 10, 2013, pp. 2405-2409.
dc.relation.references[10] J. Sowa, Building, Sharing and Merging Ontologies. URL: http://www.jfsowa.com/ontology/ontoshar.htm.
dc.relation.references[11] C. List, Levels: descriptive, explanatory, and ontological, 2018. URL: http://eprints.lse.ac.uk/87591/1/List_Levels%20descriptive_2018.pdf.
dc.relation.references[12] S. Nirenburg, V. Raskin, Ontological Semantics. MIT Press, 2004. 420 p.
dc.relation.references[13] Kudashev, Quality Assurance in Terminology Management: Recommendations from the TermFactory Project. – Helsinki: Unigrafia, 2013. 216 р. URL: http://www.projectglossary.eu/download/QA_in_TM_Kudashev.pdf.
dc.relation.references[14] B. Magnini, M. Speranza, Merging Global and Specialized Linguistic Ontologies, Proceedings of OntoLex. (2002). pp. 43-48.
dc.relation.references[15] T. Veale, Y. Hao, A context-sensitive framework for lexical ontologies, Knowledge Engineering Review, 2007. Vol. 23(1). pp. 101-115.
dc.relation.references[16] I. Horrocks, Reviewing the design of DAML+OIL: An ontology language for the Semantic Web. URL: https://www.researchgate.net/publication/2477217_Reviewing_the_design_of_DAMLOIL_An_ontology_language_for_the_Semantic_Web
dc.relation.references[17] Web Ontology Language (OWL). URL: https://www.w3.org/OWL/
dc.relation.references[18] Ontolingua. URL: http://www.ksl.stanford.edu/software/ontolingua/
dc.relation.references[19] N. Guarino, Some Ontological Principles for Designing Upper Level Lexical Resources, Proceedings of First International Conference on Language Resources and Evaluation. Granada, Spain, 1998.
dc.relation.referencesen[1] G.Z. Liu, A Key Step to Understanding Paradigm Shifts in E-learning: Towards Context-Aware Ubiquitous Learning, British Journal of Educational Technology, 2017. Vol. 41. No 2. pp. E1-E9.
dc.relation.referencesen[2] V.A. Trainev, New information communication technologies in education, Moscow, Dashkov and K, 2018. (in Russian).
dc.relation.referencesen[3] Matthew U. Scherer, Regulating artificial intelligence systems: risks, challenges, competencies, and strategies, Harvard Journal of Law & Technology Vol.29, No 2, Spring 2016.
dc.relation.referencesen[4] ISO 25964-1:2011, Thesauri and interoperability with other vocabularies. Part 1: Thesauri for information retrieval. Geneva: International Organization for Standards, 2011.
dc.relation.referencesen[5] G. Miller, Nouns in WordNet. WordNet – An Electronic Lexical Database. The MIT Press, 1998, pp. 23-47.
dc.relation.referencesen[6] O. Tkachenko, A. Tkachenko, K.Tkachenko, Ontological Modeling of Situational Management, Digital platform: information technology in the sociocultural area. Vol. 3. No 1 (2020). pp. 22-32.
dc.relation.referencesen[7] Kamran Munira, M. Sheraz Anjumb, The use of ontologies for effective knowledge modelling and information retrieval. 2017. URL: https://www.sciencedirect.com/science/article/pii/S2210832717300649. doi: 10.1016/j.aci.2017.07.003.
dc.relation.referencesen[8] S. Nirenburg, Y. Wilks, What’s in a symbol: Ontology, representation, and language, Journal of Experimental and Theoretical Artificial Intelligence, 2001. Vol. 13(1). pp. 9-23.
dc.relation.referencesen[9] S.E. Greger, S.V. Porshnev, Building an ontology of information system architecture, Fundamental Research, No 10, 2013, pp. 2405-2409.
dc.relation.referencesen[10] J. Sowa, Building, Sharing and Merging Ontologies. URL: http://www.jfsowa.com/ontology/ontoshar.htm.
dc.relation.referencesen[11] C. List, Levels: descriptive, explanatory, and ontological, 2018. URL: http://eprints.lse.ac.uk/87591/1/List_Levels%20descriptive_2018.pdf.
dc.relation.referencesen[12] S. Nirenburg, V. Raskin, Ontological Semantics. MIT Press, 2004. 420 p.
dc.relation.referencesen[13] Kudashev, Quality Assurance in Terminology Management: Recommendations from the TermFactory Project, Helsinki: Unigrafia, 2013. 216 r. URL: http://www.projectglossary.eu/download/QA_in_TM_Kudashev.pdf.
dc.relation.referencesen[14] B. Magnini, M. Speranza, Merging Global and Specialized Linguistic Ontologies, Proceedings of OntoLex. (2002). pp. 43-48.
dc.relation.referencesen[15] T. Veale, Y. Hao, A context-sensitive framework for lexical ontologies, Knowledge Engineering Review, 2007. Vol. 23(1). pp. 101-115.
dc.relation.referencesen[16] I. Horrocks, Reviewing the design of DAML+OIL: An ontology language for the Semantic Web. URL: https://www.researchgate.net/publication/2477217_Reviewing_the_design_of_DAMLOIL_An_ontology_language_for_the_Semantic_Web
dc.relation.referencesen[17] Web Ontology Language (OWL). URL: https://www.w3.org/OWL/
dc.relation.referencesen[18] Ontolingua. URL: http://www.ksl.stanford.edu/software/ontolingua/
dc.relation.referencesen[19] N. Guarino, Some Ontological Principles for Designing Upper Level Lexical Resources, Proceedings of First International Conference on Language Resources and Evaluation. Granada, Spain, 1998.
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2210832717300649
dc.relation.urihttp://www.jfsowa.com/ontology/ontoshar.htm
dc.relation.urihttp://eprints.lse.ac.uk/87591/1/List_Levels%20descriptive_2018.pdf
dc.relation.urihttp://www.projectglossary.eu/download/QA_in_TM_Kudashev.pdf
dc.relation.urihttps://www.researchgate.net/publication/2477217_Reviewing_the_design_of_DAMLOIL_An_ontology_language_for_the_Semantic_Web
dc.relation.urihttps://www.w3.org/OWL/
dc.relation.urihttp://www.ksl.stanford.edu/software/ontolingua/
dc.rights.holdercopyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
dc.rights.holder© 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and
dc.subjectraining information system
dc.subjectsubject area (domain)
dc.subjectontology
dc.subjectlinguistic ontology
dc.subjectinformation resource
dc.titleDesigning Linguistic Ontologies for Training Information Systems
dc.typeArticle

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