Blohm, Sebastian <br/><br/>
Large-Scale Pattern-Based Information Extraction from the World Wide Web 

 -  KIT Scientific Publishing  2010 
 - 1 electronic resource (VII, 236 p. p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>KSP/1000015694 9783866444799 
<br/><br/><label>Standard No.: </label>10.5445/KSP/1000015694  doi 
<br/><br/><label>Subjects--Index Terms: </label>Information Extraction Data Mining Pattern Induction Web Mining Machine Learning