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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Príomhchruthaitheoir: Blohm, Sebastian
Formáid: Online
Teanga:Béarla
Foilsithe / Cruthaithe: KIT Scientific Publishing 2021
Ábhair:
Rochtain ar líne:34410
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author Blohm, Sebastian
author_browse Blohm, Sebastian
author_facet Blohm, Sebastian
author_sort Blohm, Sebastian
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-51420
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-514202023-12-20T15:54:14Z Large-Scale Pattern-Based Information Extraction from the World Wide Web Blohm, Sebastian HF5001-6182 Information Extraction Data Mining Pattern Induction Web Mining Machine Learning bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy 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. 2021-02-11T17:27:53Z 2021-02-11T17:27:53Z 2019-07-30 20:01:57 2010 book 34410 9783866444799 https://directory.doabooks.org/handle/20.500.12854/51420 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866444799 KIT Scientific Publishing 10.5445/KSP/1000015694 10.5445/KSP/1000015694 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866444799 VII, 236 p. open access
spellingShingle HF5001-6182
Information Extraction
Data Mining
Pattern Induction
Web Mining
Machine Learning
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
Blohm, Sebastian
Large-Scale Pattern-Based Information Extraction from the World Wide Web
title Large-Scale Pattern-Based Information Extraction from the World Wide Web
title_full Large-Scale Pattern-Based Information Extraction from the World Wide Web
title_fullStr Large-Scale Pattern-Based Information Extraction from the World Wide Web
title_full_unstemmed Large-Scale Pattern-Based Information Extraction from the World Wide Web
title_short Large-Scale Pattern-Based Information Extraction from the World Wide Web
title_sort large scale pattern based information extraction from the world wide web
topic HF5001-6182
Information Extraction
Data Mining
Pattern Induction
Web Mining
Machine Learning
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
topic_facet HF5001-6182
Information Extraction
Data Mining
Pattern Induction
Web Mining
Machine Learning
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
url 34410
work_keys_str_mv AT blohmsebastian largescalepatternbasedinformationextractionfromtheworldwideweb