A Korean Knowledge Extraction System for Enriching a KBox

摘要

The increased demand for structured knowledge has created considerable interest in knowledge extraction from natural language sentences. This study presents a new Korean knowledge extraction system and web interface for enriching KBox, a knowledge base that expands based on the Korean DBpedia. We aim to create an endpoint where knowledge can be extracted and added to KBox anytime and anywhere.