TY  - BOOK
AU  - Mehler,Alexander
AU  - Kühnberger,Kai-Uwe
AU  - Lobin,Henning
AU  - Lüngen,Harald
AU  - Storrer,Angelika
AU  - Witt,Andreas
ED  - SpringerLink (Online service)
TI  - Modeling, Learning, and Processing of Text Technological Data Structures
T2  - Studies in Computational Intelligence,
SN  - 9783642226137
AV  - TA329-348 
U1  - 519 23
PY  - 2012///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Translators (Computer programs)
KW  - Computational linguistics
KW  - Engineering mathematics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Language Translation and Linguistics
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computational Linguistics
N1  - Part I Text Parsing: Data Structures, Architecture and Evaluation -- Part II Measuring Semantic Distance: Methods, Resources, and Applications -- Part III From Textual Data to Ontologies, from Ontologies to Textual Data -- Part IV Multidimensional Representations: Solutions for Complex Markup -- Part V Document Structure Learning -- Part VI Interfacing Textual Data, Ontological Resources and Document Parsing
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-22613-7
ER  -