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Theory and Applications of Natural Language Processing
Edited volumes
ChrisBiemann
AlexanderMehler Editors
Text Mining
From Ontology Learning to Automated
Text Processing Applications
Theory and Applications
of Natural Language Processing
Series Editors
Julia Hirschberg
Eduard Hovy
Mark Johnson
Aims and Scope
The field of Natural Language Processing (NLP) has expanded explosively over the
past decade: growing bodies of available data, novel fields of applications, emerging
areas and new connections to neighboring fields have all led to increasing output and
to diversification of research.
“Theory and Applications of Natural Language Processing” is a series of volumes
dedicated to selected topics in NLP and Language Technology. It focuses on the
most recent advances in all areas of the computational modeling and processing
of speech and text across languages and domains. Due to the rapid pace of
development, the diversity of approaches and application scenarios are scattered
in an ever-growing mass of conference proceedings, making entry into the field
difficult for both students and potential users. Volumes in the series facilitate this
first step and can be used as a teaching aid, advanced-level information resource or
a point of reference.
The series encourages the submission of research monographs, contributed volumes
and surveys, lecture notes and textbooks covering research frontiers on all relevant
topics, offering a platform for the rapid publication of cutting-edge research as well
as for comprehensive monographs that cover the full range of research on specific
problem areas.
The topics include applications of NLP techniques to gain insights into the use and
functioning of language, as well as the use of language technology in applications
that enable communication, knowledge management and discovery such as natural
language generation, information retrieval, question-answering, machine transla-
tion, localization and related fields.
The books are available in printed and electronic (e-book) form:
* Downloadable on your PC, e-reader or iPad
* Enhanced by Electronic Supplementary Material, such as algorithms, demonstra-
tions, software, images and videos
* Available online within an extensive network of academic and corporate R&D
libraries worldwide
* Never out of print thanks to innovative print-on-demand services
* Competitively priced print editions for eBook customers thanks to MyCopy
service http://www.springer.com/librarians/e-content/mycopy
More information about this series at
http://www.springer.com/series/8899
Chris Biemann • Alexander Mehler
Editors
Text Mining
From Ontology Learning to Automated
Text Processing Applications
Festschrift in Honor of Gerhard Heyer
123
Editors
Chris Biemann
Computer Science Department
Technische UniversitRat
Darmstadt FG Language Technology
Darmstadt
Germany
Alexander Mehler
Computer Science Department
Goethe University WG Text Technology
Frankfurt am Main
Hessen
Germany
ISSN 2192-032X ISSN 2192-0338 (electronic)
ISBN 978-3-319-12654-8 ISBN 978-3-319-12655-5 (eBook)
DOI 10.1007/978-3-319-12655-5
Springer Cham Heidelberg New York Dordrecht London
Library of Congress Control Number: 2014959093
© Springer International Publishing Switzerland 2014
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of
the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology
now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection
with reviews or scholarly analysis or material supplied specifically for the purpose of being entered
and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of
this publication or parts thereof is permitted only under the provisions of the Copyright Law of the
Publisher’s location, in its current version, and permission for use must always be obtained from Springer.
Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations
are liable to prosecution under the respective Copyright Law.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
protective laws and regulations and therefore free for general use.
While the advice and information in this book are believed to be true and accurate at the date of
publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for
any errors or omissions that may be made. The publisher makes no warranty, express or implied, with
respect to the material contained herein.
Printed on acid-free paper
Springer is part of Springer Science+Business Media (www.springer.com)
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