Computational Linguistics and Big Data in Knowledge Management
Dilfuza Shokirova, Malika Ulmasbaeva, Gulhayo Abdusaidova, Oyshajon Usmonova, Z. Tukhtabaeva, Rozigul Umarova
Abstract
This article is devoted to the issues of knowledge categorization and management of the digital transformation industry. The study discusses the essence, methodological and technological foundations of the processes of thematic discovery and management of the knowledge domain and the use of the expertise of interdisciplinary fields in digital ecosystems, the existing challenges in the development of the knowledge management framework from the onset of independence to the current stage and ways to eliminate inefficiencies, trends in the development of computational linguistics applications, and promising directions for the implementation of big data analytics to improve the knowledge management system, attracting innovative methodologies in the digital transformation industry and increasing the efficiency of data-driven decision-making, and the use of natural language datasets and computational models in knowledge generation. Relevant proposals and recommendations have been developed in a scientific, structured, and systematic approach to covering such interdisciplinary topics.