Shikhnabieva T.S.
Comparative characteristics of the main models of knowledge representation in intellectual systems of learning and knowledge control
Сравнительная характеристика основных моделей представления знаний в интеллектуальных системах обучения и контроля знаний
| УДК: |
004.82 |
| Аннотация: |
The rapid growth of the volume of poorly structured, duplicating information limits its operational search, analysis and access to it. In this situation, the learning process based on information and communication technologies is also difficult. To solve these problems and effectively organize the learning process, it is necessary to structure the knowledge to be learned.
It is known that for representation and structuring of knowledge in systems of training there are a number of models. The paper presents a comparative analysis of the most common models of knowledge representation and provides justification for the choice of the main model for use in intelligent learning systems. |
Ключевые
слова: |
Training, knowledge control, intellectual system, frames, semantic networks, production models, predicate logic, comparative characteristics |
| Abstracts: |
Быстрый рост объема плохо структурированной дублирующей информации ограничивает её оперативный поиск и анализ. В этой ситуации процесс обучения, основанный на информационных и коммуникационных технологиях, также затруднен. Чтобы решить эти проблемы и эффективно организовать учебный процесс, необходимо структурировать изучаемую информацию.
Известно, что для представления и структурирования знаний в системах обучения существует ряд моделей. В статье представлен сравнительный анализ наиболее распространенных моделей представления знаний и обоснованность выбора основной модели для использования в интеллектуальных обучающих системах. |
| Keywords: |
обучение, контроль знаний, интеллектуальная система, рамки, семантические сети, производственные модели, предикатная логика, сравнительные характеристики |
Авторы статьи:
SHIKHNABIEVA
Tamara Shikhgasanovna
shetoma@mail.ru |
Doctor of Pedagogical Sciences, Professor, Department of Computer Science, Federal State Budgetary Educational Institution of Higher Professional Education «Plekhanov Russian University of Economics» |
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