Semi-automatic approach to building Enterprise Ontology for Business

Abstract

There is a need to explore information efficiently and obtain suggestions from unstructured Enterprise data. Knowledge graphs, which enable visualization of relationships and inference, have recently been exploited in business to meet needs. We also expect to use ontologies that control the meaning and perspective of knowledge graphs in business, but creating ontologies manually takes a large cost. In this paper, we propose two types of ontology construction methods for each business data type. We show the effect of the proposed method with experiments that each type of ontology construction method is applied to enterprise data.