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Извлечение знаний из данных (Extraction of Knowledge from Data)

Авторы: Турыгина В.Ф.
Статус: Авторская редакция
Тип: Ссылка
Создан: 06.08.2015


Knowledge extraction is the creation of knowledge from structured and unstructured sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates differencing. Although it is methodically similar to information extraction, the main criteria is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge or the generation of a schema based on the source data.
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