| 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)
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| Budget Amount *help |
¥41,990,000 (Direct Cost: ¥32,300,000、Indirect Cost: ¥9,690,000)
Fiscal Year 2017: ¥7,540,000 (Direct Cost: ¥5,800,000、Indirect Cost: ¥1,740,000)
Fiscal Year 2016: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2015: ¥10,010,000 (Direct Cost: ¥7,700,000、Indirect Cost: ¥2,310,000)
Fiscal Year 2014: ¥15,600,000 (Direct Cost: ¥12,000,000、Indirect Cost: ¥3,600,000)
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| 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.
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