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May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
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Broadly Applicable and Flexible Conceptual Metagrammar as a Basic Tool for Developing a Multilingual Semantic Web

P. 249–259.
Fomichov V. A.

The paper formulates the problem of constructing a broadly applicable and flexible Conceptual Metagrammar (CM). It is to be   a collection of the rules enabling us to construct step by step a semantic representation (or text meaning representation) of practically arbitrary sentence or discourse pertaining to mass spheres of human’s professional activity. The opinion is grounded that the first version of broadly applicable and flexible CM is already available in the scientific literature. It is conjectured that the definition of the class of SK-languages (standard knowledge languages) provided by the theory of K-representations (knowledge representations) can be interpreted as the first version of broadly applicable and flexible CM. The current version of the latter theory is stated in the author’s monograph published by Springer  in 2010. The final part of the paper describes the connections with the related approaches, in particular, with the studies on developing a Multilingual Semantic Web.

Language: English
Full text
Keywords: natural language processing теория К-представленийСК-языки семантическое представление текстаtheory of K-representationsSK-languagesalgorithm of semantic-syntactic analysisкомпьютерная обработка естественного языкаmultilingual semantic websemantic representationbioinformaticsбиоинформатикамультилингвистический семантический вебconceptual metagrammarsemantic markup languagetext meaning representationконцептуальная метаграмматикаязык семантической разметкиалгоритм семантико-синтаксичесчкого анализапредставление значения текста

In book

Natural Language Processing and Information Systems. 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Salford, UK, June 2013. Proceedings
Issue LNCS 7934. , Dordrecht, L., Heidelberg, NY: Springer, 2013.
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