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SYSTEM FOR INTEGRATING KNOWLEDGE IN TEXT FORMAT
- Authors: Kharlamov A.A.1
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Affiliations:
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences
- Issue: No 10(891) (2024)
- Pages: 119-125
- Section: Linguistics
- URL: https://journals.rcsi.science/2542-2197/article/view/295234
- ID: 295234
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Abstract
The paper presents biological background, theoretical considerations, algorithms and a brief description of a prototype system for integrating knowledge in text format. The purpose of the system is to create an environment for storing public knowledge that does not require rescaling caused by an increase in the volume of stored information and changes in its structure due to the dynamics of knowledge development, that is, the disappearance of old sections and the appearance of new ones. The system is represented as a hypertext and includes, in addition to the source texts, also a semantic network that characterizes the content of these texts.
About the authors
Alexander Alexandrovich Kharlamov
Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences
Author for correspondence.
Email: kharlamov@ihna.ru
Doctor of Technical Science (Dr. habil), Prof., Senior Researcher at the Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences
Russian FederationReferences
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- Kharlamov, A. (2020a). A Network N-gram Model of the Text. A Topic Tree of the Text – Minimal Tree Subgraph of the Semantic Network. By A. Kharlamov, M. Pilgun (Eds.) Neuroinformatics and Semantic Representations. Theory and Applications (pp. 114–126). Cambridge Scholars Publishing.
- Kharlamov, A. (2020b). TextAnalyst Technology for Automatic Semantic Analysis of Text. In Kharlamov, A., Pilgun, M. (Eds.) Neuroinformatics and Semantic Representations. Theory and Applications (pp. 156–167). Cambridge Scholars Publishing.
- Kulikov, A., Kharlamov, A. (2020). Using a Homogeneous Semantic Network to Classify the Results of Genetic Analysis. In A. Kharlamov, M. Pilgun (Eds.) Neuroinformatics and Semantic Representations. Theory and Applications (pp. 219–237). Cambridge Scholars Publishing.
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