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Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms

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Abstract

The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language.

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Authors and Affiliations

  1. A. P. Ershov Institute of Informatics Systems, Siberian Division, Russian Academy of Sciences, pr. akademika Lavrent’eva 6, Novosibirsk, 630090, Russia

    N. O. Garanina & E. A. Sidorova

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  1. N. O. Garanina
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  2. E. A. Sidorova
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Correspondence to N. O. Garanina.

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Original Russian Text © N.O. Garanina, E.A. Sidorova, 2015, published in Programmirovanie, 2015, Vol. 41, No. 3.

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Garanina, N.O., Sidorova, E.A. Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms. Program Comput Soft 41, 140–148 (2015). https://doi.org/10.1134/S0361768815030044

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  • DOI: https://doi.org/10.1134/S0361768815030044

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