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大規模な人の位置情報とSNS情報に基づく地域イベント特定に向けたオントロジ―学習
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- 峯 恒憲
- Principal Investigator
- 九州大学
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- RAJAONARIVO HIARY Landy
- Co-Investigator
- 九州大学
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- RAJAONARIVO HIARY
- Co-Investigator
- 九州大学
About This Project
- Japan Grant Number
- JP22KF0288 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 22KF0288
- Research Category
- Grant-in-Aid for JSPS Fellows
- Allocation Type
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- Multi-year Fund
- Single-year Grants
- Review Section / Research Field
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- Basic Section 62020:Web informatics and service informatics-related
- Research Institution
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- Kyushu University
- Project Period (FY)
- 2023-03-08 〜 2024-03-31
- Project Status
- Completed
- Budget Amount*help
- 2,300,000 Yen (Direct Cost: 2,300,000 Yen Indirect Cost: 0 Yen)
Research Abstract
We collect data from social media such as twitter, and automatically extract various events and related information. We also use various web services such as Wikidata to obtain the meanings of the expressions. Based on these analysis results, we automatically construct ontologies and knowledge graphs, which will be used in combination with people's movement information to discover new event information about newly or temporary held, recommend the discovered events to the residents of the area where the events are held and people visiting the area and answer questions about the events.
Keywords
Details 詳細情報について
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- CRID
- 1040295879331099904
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- Text Lang
- ja
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- Data Source
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- KAKEN