Managing Additional Information for Semi-structured Data and its Application to Search
| Project/Area Number |
22700097
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Media informatics/Database
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2010-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 半構造データ / ＸＭＬ / 理解支援 / 情報検索 / 対応付け / XML / 来歴管理 |
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| Research Abstract |
Many kinds of data or documents can be regarded and represented as semi-structured data, and XML is widely used for the format. We studied on understanding support for semi-structured data by retrieving and presenting useful information. In this study, we used academic papers, presentation slides, and metadata for science data, which can be regarded as semi-structured data. We proposed and evaluated some new methods for document alignment in fine granularity, supporting XML keyword search, propagation of multi-granularity annotations, and so on.
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Report
(5 results)
Research Products
(27 results)
