صورة الغلاف

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...

وصف كامل

محفوظ في:
المؤلف الرئيسي: Blohm, Sebastian
التنسيق: Online
اللغة:الإنجليزية
منشور في: KIT Scientific Publishing 2021
الموضوعات:
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
الوصول للمادة أونلاين:34410
الوسوم: إضافة وسم
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الملخص: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.

مواد مشابهة