Intelligent Exploration of Semantic Data through Domains based on Multi-dimension Viewpoint Management of Ontologies

2016 Fiscal Year Final Research Report

• Project/Area Number: 25280081
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Osaka University
• Principal Investigator: Kozaki Kouji 大阪大学, 産業科学研究所, 准教授 (00362624)
• Co-Investigator(Kenkyū-buntansha): 来村 徳信 立命館大学, 情報理工学部, 教授 (20252710) ; 熊澤 輝一 総合地球環境学研究所, 研究基盤国際センター, 助教 (90464239)
• Co-Investigator(Renkei-kenkyūsha): YAMAMOTO Yasunori 大学共同利用機関法人情報・システム研究機構(機構本部施設等), データサイエンス共同利用基盤施設, 特任准教授 (50470076)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: オントロジー / 知的探索 / セマンティックデータ / Linked Data / 視点管理

Outline of Final Research Achievements

In this research, we developed techniques for intelligent exploration of semantic data which is structured data in machine readable formats. The techniques enable the users to explore semantic data through domains based on multi-dimension viewpoint management of ontologies according to their interests.
As the result, the users can find and/or compare "a series of relationships between knowledge (chains of knowledge)" from various semantic data. It could be used as software modules which support bases of many intelligent systems.

Free Research Field

オントロジー工学