КЛАСТЕРИЗАЦИЯ ДОКУМЕНТОВ ПО ТЕМЕ УПРАВЛЕНИЯ АРХИТЕКТУРОЙ ПРЕДПРИЯТИЯ
Аннотация
В условиях стремительного роста объёма научных публикаций в различных областях возникает проблема информационной избыточности, затрудняющая систематизацию и анализ существующих исследований. В данной статье представлен подход к автоматизированной кластеризации и тематической классификации 200 научных документов (статей, монографий, стандартов), посвящённых теме управления архитектурой предприятия. Для анализа текстов использовались современные инструменты обработки естественного языка, включая нейросетевые сервисы. Методология исследования включала несколько этапов: извлечение и унификацию ключевых слов с построением пирамиды знаний, формирование TF-IDF матрицы для количественной оценки значимости понятий, а также кластеризацию документов с применением алгоритмов DBSCAN и EM. В результате были выделены 10 содержательных кластеров, отражающих основные направления исследований в области управления архитектурой предприятия. Среди них – теоретические и методологические основы данной темы (фреймворки TOGAF, Zachman), интеграция цифровых двойников, вопросы цифровой трансформации и внедрения технологий Индустрии 4.0, применение эталонных архитектур (RAMI 4.0, IIRA), а также практические аспекты внедрения управления архитектурой предприятия в различных отраслях. Для визуализации результатов использовались сжатые в двумерное пространство распределения публикаций, объединенных минимальным остовным деревом, а также тепловые карты. В результате был построен иерархический классификатор документов в виде дерева решений, что позволило наглядно представить структуру кластеров и взаимосвязи между темами. Разработанный алгоритм демонстрирует высокую эффективность для тематического структурирования больших массивов текстов и может быть применён в других предметных областях, сталкивающихся с проблемой информационной перегрузки.
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