Large-Scale Pattern-Based Information Extraction from the World Wide Web

By: Material type: ArticleArticleLanguage: English Publication details: KIT Scientific Publishing 2010Description: 1 electronic resource (VII, 236 p. p.)ISBN:
  • KSP/1000015694
  • 9783866444799
Subject(s): Online resources: 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.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Open Access star Unrestricted online access

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.

Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/ cc https://creativecommons.org/licenses/by-nc-nd/4.0/

English

There are no comments on this title.

to post a comment.
Share