Deep knowledge discovery from natural language texts

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.