Supporting System for Document Understanding Based on User-adaptive Knowledge Graph

Abstract

Knowledge database is utilized to promote understanding technical documents.Various types of knowledge is required according to the situation of the user.We propose the system extracts user-adaptive knowledge graph from knowledge database.User-adaptive knowledge graph includes effective knowledge for understanding the technical documents as the user.Our system includes ontology about relations between attributes of usecases and rules of graph extraction.In the situation of reading a paper about steel material, our experimental result shows that out system extracted proper range of knowledge graph depending on the user situation.