ENGLISH

Modeling, Learning, and Processing of Text Technological Data Structures

By Henning Lobin , Alexander Mehler , Kai-Uwe Kühnberger , Harald Lüngen , Angelika Storrer (auth.) , Angelika Storrer , Andreas Witt (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2012
ISBN
978-3-642-22612-0, 978-3-642-22613-7
DOI
10.1007/978-3-642-22613-7
Language
english
Format
PDF
Filesize
10 MB (10926480 bytes)
Series
Studies in Computational Intelligence 370
Edition
1
Pages
400\397
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Appl.Mathematics/Computational Methods of Engineer

Description

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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