Deep knowledge discovery from natural language texts
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TL;DR
This work introduces a knowledge-based approach to deep knowledge discovery from real-world natural language texts that identifies new knowledge items and assimilates them into a continuously updated domain knowledge base.
Abstract
We introduce a knowledge-based approach to deep knowledge discovery from real-world natural language texts. Data mining, data interpretation, and data cleaning are all incorporated in cy-cles of quality-based terminological reasoning processes.. The methodology we propose identifies new knowledge items and assimilates them into a continuously updated domain knowl-edge base.
