Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases

Currently, knowledge bases are actively used in many applications such as search engines, dialog assistants. Primarily, it happens due to the improvement of existing methods through the analysis of meaning. Knowledge bases have different knowledge representations. Semantic networks, frames, semantic...

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Main Authors: Anton Kanev, Yury Gapanyuk, Valery Terekhov
Format: Article
Language:English
Published: FRUCT 2021-01-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/fruct28/files/Ter.pdf
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author Anton Kanev
Yury Gapanyuk
Valery Terekhov
author_facet Anton Kanev
Yury Gapanyuk
Valery Terekhov
author_sort Anton Kanev
collection DOAJ
description Currently, knowledge bases are actively used in many applications such as search engines, dialog assistants. Primarily, it happens due to the improvement of existing methods through the analysis of meaning. Knowledge bases have different knowledge representations. Semantic networks, frames, semantic web, production rules are used for this purpose. But existing methods of knowledge representation have limitations. Thus, RDF is a flat model and production rules contradict each other. Therefore, it is proposed to apply metagraphs to combine the advantages of different representations. The paper describes the emergence feature of this method for complex knowledge representation. An analytical assessment of the search time is carried out for a concept in the knowledge base. The authors implemented the proposed method of representation in a knowledge base management system and carried out an experiment to evaluate its performance.
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spelling doaj.art-17b3c1887f06468e9935213a568a3f802022-12-21T18:18:46ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372021-01-0128145846410.23919/FRUCT50888.2021.9347601Metagraph Representation for Overcoming Limitations of Existing Knowledge BasesAnton Kanev0Yury Gapanyuk1Valery Terekhov2Bauman Moscow State Technical University, RussiaBauman Moscow State Technical University, RussiaBauman Moscow State Technical University, RussiaCurrently, knowledge bases are actively used in many applications such as search engines, dialog assistants. Primarily, it happens due to the improvement of existing methods through the analysis of meaning. Knowledge bases have different knowledge representations. Semantic networks, frames, semantic web, production rules are used for this purpose. But existing methods of knowledge representation have limitations. Thus, RDF is a flat model and production rules contradict each other. Therefore, it is proposed to apply metagraphs to combine the advantages of different representations. The paper describes the emergence feature of this method for complex knowledge representation. An analytical assessment of the search time is carried out for a concept in the knowledge base. The authors implemented the proposed method of representation in a knowledge base management system and carried out an experiment to evaluate its performance.https://www.fruct.org/publications/fruct28/files/Ter.pdfmetagraphknowledge baseontologyconceptsemantic network
spellingShingle Anton Kanev
Yury Gapanyuk
Valery Terekhov
Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases
Proceedings of the XXth Conference of Open Innovations Association FRUCT
metagraph
knowledge base
ontology
concept
semantic network
title Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases
title_full Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases
title_fullStr Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases
title_full_unstemmed Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases
title_short Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases
title_sort metagraph representation for overcoming limitations of existing knowledge bases
topic metagraph
knowledge base
ontology
concept
semantic network
url https://www.fruct.org/publications/fruct28/files/Ter.pdf
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AT yurygapanyuk metagraphrepresentationforovercominglimitationsofexistingknowledgebases
AT valeryterekhov metagraphrepresentationforovercominglimitationsofexistingknowledgebases