Аннотация
We propose a methodology of structuring domain knowledge as a four-layered framework. The taxonomy consists of four hierarchically related components which include: Ontology, General Knowledge, Statistics and Probability Based Knowledge and individual cases. Further, we suggest using statistics based techniques to verify rules representing General Knowledge and to test and construct new decision rules.
Язык оригинала | английский |
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Название основной публикации | Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 |
Издатель | Institute of Electrical and Electronics Engineers Inc. |
Страницы | 309-313 |
Число страниц | 5 |
ISBN (электронное издание) | 9781538615966 |
DOI | |
Состояние | Опубликовано - 14 ноя 2017 |
Событие | 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 - Novosibirsk, Российская Федерация Продолжительность: 18 сен 2017 → 22 сен 2017 |
Конференция
Конференция | 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 |
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Страна | Российская Федерация |
Город | Novosibirsk |
Период | 18.09.2017 → 22.09.2017 |