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Modeling, Learning, and Processing of Text-Technological Data Structures (Hardcover, 2012 ed.)
Alexander Mehler, Kai-Uwe Kuhnberger, Henning Lobin, Harald Lungen, Angelika Storrer, …
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R5,137
R4,497
Discovery Miles 44 970
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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.
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.
Die Extensible Markup Language (XML), eine vereinfachte Version der
Standard Generalized Markup Language (SGML), wurde fur den
Austausch strukturierter Daten im Internet entwickelt.
Informationen konnen damit nicht nur in einem einheitlichen,
medienunabhangigen Format strukturiert werden, sondern auch die
Strukturierungsprinzipien selbst sind durch ein formales Regelwerk,
eine Grammatik, beschreibbar. Erst so werden weitergehende
Verarbeitungsprozesse wie geleitete Dateneingaben,
Datenkonvertierung, flexibles Navigieren und Viewing der Daten
moglich. Neben der elementaren Informationsmodellierung ist mit der
Meta-Strukturierung durch sog. Architekturen ein neuer Aspekt
hinzugekommen: die objektorientierte Schichtung von
Struktur-Grammatiken. Das vorliegende Buch stellt sowohl elementare
als auch architektonische Strukturierungstechniken erstmals in
zusammenhangender Form dar. Es wendet sich an Leser, die sich
detailliert und praxisorientiert mit dem Thema auseinandersetzen
wollen.
Der Autor vergleicht verschiedene sprachliche Instruktionsformen
mit konzeptuellen Strukturen und leitet daraus bestimmte Regeln ab,
die zu Aktivitatsschemata als Planungsressourcen fuhren konnen."
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