Метод автоматического построения онтологических баз знаний. I. Разработка семантико-синтаксической модели естественного языка / Марченко А. А. (2016)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2016, 52 (1))

Marchenko O.O.
A method for automatic construction of ontological knowledge bases. I. Development of the semantic-syntactic model of natural language

A method is developed for the automatic generation of ontological knowledge bases. An algorithm is created for the extraction of explicit semantic relationships between concepts of an ontology on the basis of their semantic-syntactic valence vectors. Vectors of semantic-syntactic valences of words were also used as context vectors in an algorithm for formal concept analysis, which made it possible to develop a method for the automatic generation of high-quality taxonomies. As a result, a basic algorithm for the automatic generation of ontological knowledge bases was developed on the basis of the tensor semantic-syntactic model of natural language. © 2016, Springer Science+Business Media New York.

Keywords: automatic knowledge extraction, corpus linguistics, non-negative tensor factorization, ontology, Algorithms, Computational linguistics, Extraction, Formal concept analysis, Semantics, Syntactics, Taxonomies, Tensors, Automatic construction, Automatic Generation, Corpus linguistics, Explicit semantics, Knowledge basis, Knowledge extraction, Natural languages, Tensor factorization, Ontology


Cite:
Marchenko O.O. (2016). A method for automatic construction of ontological knowledge bases. I. Development of the semantic-syntactic model of natural language. Cybernetics and Systems Analysis, 52 (1), 23-33. doi: https://doi.org/10.1007/s10559-016-9836-z http://jnas.nbuv.gov.ua/article/UJRN-0000460176 [In Russian].


 

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