Modeling, Learning, and Processing of Text-Technological Data Structures

Alexander Mehler

ISBN 10: 3642226124 / ISBN 13: 9783642226120

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2011, 2011

About this Item

Neuware -Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book ¿Modelling, Learning and Processing of Text-Technological Data Structures¿ deals with this challenging information unit. It focuses on theoretical foundations of representing natural language texts as well as on concrete operations of automatic text processing. Following this integrated approach, the present volume includes contributions to a wide range of topics in the context of processing of textual data. This relates to the learning of ontologies from natural language texts, the annotation and automatic parsing of texts as well as the detection and tracking of topics in texts and hypertexts. In this way, the book brings together a wide range of approaches to procedural aspects of text technology as an emerging scientific discipline.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch.

Seller Inventory # 9783642226120

Bibliographic Details

• Title: Modeling, Learning, and Processing of Text-Technological Data Structures
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3642226124
• ISBN 13: 9783642226120
• Binding: Buch
• Condition: Neu

About this title

Synopsis

Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book “Modelling, Learning and Processing of Text-Technological Data Structures” deals with this challenging information unit. It focuses on theoretical foundations of representing natural language texts as well as on concrete operations of automatic text processing. Following this integrated approach, the present volume includes contributions to a wide range of topics in the context of processing of textual data. This relates to the learning of ontologies from natural language texts, the annotation and automatic parsing of texts as well as the detection and tracking of topics in texts and hypertexts. In this way, the book brings together a wide range of approaches to procedural aspects of text technology as an emerging scientific discipline.