|
ИСТИНА |
Войти в систему Регистрация |
ФНКЦ РР |
||
A model of goal-oriented knowledge discovery based on human-computer symbiosisстатья
- Автор: Zatsman I.
- Сборник: 16th Forum (International) on Knowledge Asset Dynamics Proceedings
- Год издания: 2021
- Место издания: Arts for Business Institute Rome, Italy
- Первая страница: 297
- Последняя страница: 312
- Аннотация: Our study arose from a need to discover new knowledge about two types of language units: German modal verbs and medical terms of disease descriptions. The paper focuses on creating and enriching knowledge bases of language units' meanings and their definitions and designing information technology providing the discovery of new knowledge. The discovery is based on a model named information technology-oriented (hereafter – ITO model), and its particular case called the filling model. There are three main differences between these two models and the spiral model. First, the ITO and filling models distinguish between two explicit knowledge representations: by words and computer codes. Second, the models include four additional transition processes: visualisation (computer codes → words), digitalisation (words → computer codes), conceptualisation, and annotating apart from processes already present in the spiral model of knowledge creation. Thirdly, they serve as a theoretical basis for developing information technology of goal-oriented discovery of new knowledge in large digital collections. The models combine the automatic and expert stages of enriching knowledge bases in the paradigm of human-computer symbiosis. The paper aims to consider the filling and ITO models. The latter is positioned as the digital transformation outcome of the spiral model of knowledge creation.
- Добавил в систему: Зацман Игорь Моисеевич