2013 Fiscal Year Final Research Report
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 |
Research Field |
Media informatics/Database
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Research Institution | Kyoto University |
Principal Investigator |
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Project Period (FY) |
2010-04-01 – 2014-03-31
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Keywords | 半構造データ / XML / 理解支援 / 情報検索 |
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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Research Products
(9 results)