A Intelligent Service Development Platform Based on Ontologies and Data Mining

2017 Fiscal Year Final Research Report

• Project/Area Number: 26240036
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Keio University
• Principal Investigator: Yamaguchi Takahira 慶應義塾大学, 理工学部(矢上), 教授 (20174617)
• Co-Investigator(Kenkyū-buntansha): 阿部 秀尚 文教大学, 情報学部, 准教授 (00397853) ; 森田 武史 慶應義塾大学, 理工学部(矢上), 講師 (50590171) ; 稲田 周平 慶應義塾大学, 理工学部(矢上), 准教授 (60327715) ; 大門 樹 慶應義塾大学, 理工学部, 教授 (80306878)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: オントロジー / インテリジェントサービス / テキストマイニング / 知能ロボット/

Outline of Final Research Achievements

We develop "A Intelligent Service Development Platform Based on Ontologies and Data Mining" including the following research items: sequential data/text mining, local linked data generator, linked data crowd generator, ontology aliment, AI task composer. We also evaluate the platform with the following real cases: community support, work support by intelligent robots, teaching support by intelligent robots and work support by smart glasses.

Free Research Field

知能情報学