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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Main Author: | |
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
KIT Scientific Publishing
2010
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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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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Physical Description: | 1 electronic resource (VII, 236 p. p.) |
ISBN: | KSP/1000015694 9783866444799 |
Access: | Open Access |