INTEGRATION MODEL FOR KNOWLEDGE REPRESENTATION FOR SEMANTIC WEB

Authors

  • Danylo Sergeiev National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

Abstract

This paper presents an integration model for knowledge representation in natural language knowledge bases that allows to achieve good computational complexity of operations of adding and searching data in the knowledge base. The model can be used as an intermediate data structure between specialized text-based and knowledge-based systems in Semantic Web ecosystem.

Key words: quantum of knowledge, knowledge base, natural language processing, integration approach.

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Published

2023-11-08

Issue

2018

Section

Machine learning, Big Data