Modeling, Learning, and Processing of Text Technological Data Structures by Mehler, Alexander (Editor)/ Kuhnberger, Kai-uwe (Editor)/ Lobin, Henning (Editor)/ Lungen, Harald (Editor)/ Storrer, Angelika (Editor): Brand New Hardcover (2011)

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1st edition. 422 pages. 9.00x6.00x1.00 inches. In Stock.

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Bibliographic Details

Title: Modeling, Learning, and Processing of Text Technological Data Structures
Publisher: Springer Verlag
Publication Date: 2011
Language: English
ISBN 10: 3642226124
ISBN 13: 9783642226120
Binding: Hardcover
Condition: Brand New

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.

From the Back Cover

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.

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