Multistep Expansion based Concept Search for Intelligent Exploration of Large Scale Ontologies

Abstract

Recently, there are various semantic data such as linked data, knowledge graph, ontologies and so on. How to explore them and get appropriate information are very important techniques for intelligent application systems based on them. In this article, we focus on intelligent exploration of ontologies since ontologies provide systematized knowledge to understand target domain and contribute to deep understanding of semantic data. Although concept search is very important and fundamental technique for ontology exploration, there are some rooms to improve it in order to deal with conceptual structure of ontologies more efficiently. The authors propose a novel conceptual search method called "Multistep Expansion based Concept Search" to get appropriate concepts from ontologies according to the user's intentions and purpose.