Large-Scale Pattern-Based Information Extraction from the World Wide Web
Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate...
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| Format: | eBook |
| Language: | English |
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KIT Scientific Publishing
2010
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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web. |
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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Physical Description: | 1 electronic resource (VII, 236 p. p.) |
| ISBN: | 1000015694 9783866444799 |