System and method for Ontology-based machine-readable regulation visualization

摘要

The present invention is an ontology-based machine readable regulation visualization system and method, in which laws or regulations expressed in natural language are divided into ontology elements through morphological analysis, and then converted into ontology code (OWL code; hereinafter, ontology code) and stored. Ontology DB; When the output request information is received, according to the output request information, the laws or regulations expressed in natural language stored in the ontology DB are displayed in an ontology tree structure from a higher law or regulation to a lower law or regulation according to the relationship between ontology elements; It relates to an ontology-based machine readable regulation visualization system and method comprising a. According to the present invention, natural language processing using deep learning such as morphological analysis of laws and regulations subject to concept verification is performed, thereby providing a basis for efficient resource use with a time-saving effect that can be processed in a shorter time than manual work, Using Ontology, it is possible to provide an ontology-based machine readable regulation visualization system and method that completes the distribution consistency and effective machine-executable regulation structure when laws and regulations change.