| Project/Area Number |
12480081
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
NISHLDA Toyoaki DEPARTMENT OF INFORMATION AND COMMUNICATION ENGINEERING, The University of Tokyo, PROFESSOR, 大学院・情報理工学系研究科, 教授 (70135531)
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| Co-Investigator(Kenkyū-buntansha) |
KUROHASHI Sadao DEPARTMENT OF INFORMATION AND COMMUNICATION ENGINEERING, The University of Tokyo, ASSOCIATE PROFESSOR, 大学院・情報理工学系研究科, 助教授 (50263108)
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| Project Period (FY) |
2000 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥14,000,000 (Direct Cost: ¥14,000,000)
Fiscal Year 2001: ¥6,000,000 (Direct Cost: ¥6,000,000)
Fiscal Year 2000: ¥8,000,000 (Direct Cost: ¥8,000,000)
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| Keywords | Knowledge Management / Community / Story / Knowledge Network / Human Network / Memory |
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| Research Abstract |
In this research, we focus on the role of the story structure in memory and design, develop and evaluate a community memory management system that organizes personal memory and community memory into a coherent collection of stories, and allows the users to formulate, share and utilize personal and collective memory of the community. The major results are as follows :
(1) Formulation and sharing of personal memory utilizing the story structure : We have developed and evaluated a prototype system that allows the user to formulate, distribute the story structure on the spot.
(2) Formulation and sharing of community memory and its personalization utilizing the story structure : We have developed and evaluated a prototype of a community memory management system based on the talking-virtualized-egos metaphor.
(3) Reorganization of stories : We have developed a method of extracting stories related to the given subject from the story archive and rearrange them into a story structure.
(4) Personalization of stories : We have developed a method of restructuring stories according to personal interest and background knowledge. We have also obtained insights about differentiating multiple texts using the case structure comparison method.
(5) Linguistic and AI methods for supporting memory management based on the story structure : We have obtained insights about ontology grounding, nonverbal communication and automatic generation of thesaurus.
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