Ontology-Based Knowledge Acquisition Method for Natural Language Texts

The main task of knowledge acquisition (also named extraction) from natural language texts is to extract into fragment base intelligent system. Through the induction related literature about at a home country and abroad, this paper analyses strengths weaknesses classical approach. After emphatically researching rulebased extraction technology method building ontology linguistics, article proposes solution implementation based on OSTIS technology. feature construct unified semantic model that able utilize ontologies linguistics (mainly, syntactic aspect) integrate various problem-solving models (e. g., rule-based models, neural network models) for solving process texts.