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 visualization. This thesis explores the potential of using textual patterns for Information Extraction from the World Wide Web.

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Year of publication:	2010-01-01
Authors:	Blohm, Sebastian
Publisher:	Universität Karlsruhe
Subject:	Information Extraction \| World Wide Web \| Text Mining \| Information Retrieval \| Semantic Web \| Machine Learning \| Data Mining

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Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Thesis
Language:	English
Source:	BASE

Persistent link: https://www.econbiz.de/10009434589