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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Bibliographic Details
Main Author: Blohm, Sebastian (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2010
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Large-Scale Pattern-Based Information Extraction from the World Wide Web 
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520 |a 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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546 |a English 
653 |a Information Extraction 
653 |a Data Mining 
653 |a Pattern Induction 
653 |a Web Mining 
653 |a Machine Learning 
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