Hybrid search: effectively combining keywords and semantic searches
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A structured semantic query interface for reasoning-based search and retrieval
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Understanding an ontology through divergent exploration
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Semantic search: reconciling expressive querying and exploratory search
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Connecting the dots: a multi-pivot approach to data exploration
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
PowerAqua: fishing the semantic web
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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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.