A Research on Web Sensors to Extract Spatio-Temporal Datafrom the Web
| Project/Area Number |
23700129
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Media informatics/Database
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| Research Institution | Muroran Institute of Technology |
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Principal Investigator |
HATTORI Shun 室蘭工業大学, 工学研究科, 助教 (40555223)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | ウェブマイニング / ウェブセンサ / 時空間解析 / スマート空間 / 特異画像検索 / データマイニング / セキュア空間 / テキストマイニング / 画像解析 / 画像検索 |
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| Research Abstract |
To build Smart Spaces in the real world, they need to keep onsensing their situation and optimize their services and structure. But it is difficult forexisting real sensors to physically sense what cognition, reputation, and impression peoplehave on a physical phenomenon's occurring in a place (space) and a time. Therefore, thisresearch has developed Web Sensors to extract spatiotemporal data from a huge amount ofWeb documents about various physical phenomena, and validated the potential andreliability of the Web-sensed spatiotemporal data multidirectionally.
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Report
(3 results)
Research Products
(28 results)
