[Mlnet] AW: [Kdnet-members] CfP: ICML05 Workshop on Ontology Learning

Ina Lauth codrina.lauth at ais.fraunhofer.de
Thu Mar 3 16:58:23 EST 2005


(Apologies if you receive multiple copies of this message)

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               		Call for Papers:
	   LEARNING AND EXTENDING LEXICAL ONTOLOGIES
	       BY USING MACHINE LEARNING METHODS

Workshop at the International Conference on Machine Learning (ICML 2005)
                      Bonn, Germany August 11th 2005


http://www.ais.fraunhofer.de/KD/AIS_Workshop/WS_Learning_and_Extending_L
exical_Ontologies.html 

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TOPIC AND MOTIVATION

The workshop is concerned with learning and extending lexical ontologies
by means of Machine Learning methods. Lexical-semantic ontology learning
is an emerging field that combines machine learning techniques with
the most recent advances in natural language and ontology processing.

There has been a considerable amount of research how the use of
lexical-semantic ontologies such as WordNet improves the performance of
a variety of Natural Language Processing tasks, such as Information
Retrieval, Word Sense Disambiguation, Document Clustering, Document
Summarization and others.

It has turned out that simple hierarchies are not sufficient to capture
the semantic relations of words. Semantic fields, for instance may be
used to represent semantic connections among groups of lexemes drawn
from a single domain, while semantic selectional restrictions allow
lexemes to post constraints on the semantic properties of constituents
that accompany them in sentences. On the other hand multiple data
sources might be included: linguistically or statistically pre-processed
documents, combinations of multiple and cross-lingual corpora or the web
as well as existing dictionaries and ontologies.

Machine learning now provides new techniques to learn rich structural
properties. The aim of the workshop is to bring together researchers
from machine learning as well as NLP and related fields. Progress in
this area may foster an understanding of the semantics of language and
may have considerable economical impact.


SUBMISSION

Submissions (in PDF format, all fonts included) should be in English and
not longer than 10 pages (full paper) or 5 pages (short paper),
following Springer LNCS style. Accepted long papers will be presented in
oral sessions, accepted short papers as posters.

Submissions are invited on all aspects of the interaction between
Ontology Acquisition and Machine Learning. Topics may include, but are
not necessarily limited to

   * Ontology induction from large corpora
   * Candidate generation and classification for ontology extension
   * Derivation of ontology relations
   * Knowledge discovery (from databases, semi-structured data, text,
     multimedia) in ontology learning (extension/evolution) and/or
     ontology mapping (merging/integration)
   * Ontology domain adaptation


IMPORTANT DATES

Apr  1, 2005  Paper submission deadline
Apr 22, 2005  Notification of acceptance
May 13, 2005  Final paper deadline
Aug 11, 2005  Workshop held


ORGANIZATION

Co-Chairs:
   - Chris Biemann, University of Leipzig, Germany (contact person)
     biem at informatik.uni-leipzig.de
   - Gerhard Paass, Fraunhofer AIS, Sankt Augustin, Germany
     Gerhard.Paass at ais.fraunhofer.de


Program Committee:
  - Markus Ackermann, University of Leipzig, Germany
  - Eneko Agirre, Basque Country University, Spain
  - Enrique Alfonseca, Universidad Autónoma de Madrid, Spain
  - Paul Buitelaar, DFKI Saarbrücken, Germany
  - Javier Farreres, Universitat Politècnica de Catalunya, Spain
  - Jürgen Franke, DaimlerChrysler AG, Germany
  - Thomas Gärtner, Fraunhofer AiS, Sankt Augustin, Germany
  - Karina Gibert, Universitat Politècnica de Catalunya, Spain
  - Vasileios Hatzivassioglou, Columbia University, New York, USA
  - Rattikorn Hewett, Texas Tech University, USA
  - Gerhard Heyer, University of Leipzig, Germany
  - Eduard Hovy, University of Southern California, USA
  - Tang Enya Kong, Universiti Sains Malaysia, Malaysia
  - Pedro Larrañaga, Basque Country University, Spain
  - Bernardo Magnini, ITC-irst, Italy
  - Suresh Manandhar, University of York, United Kingdom
  - Inderjeet Mani, Georgetown University, USA
  - Alexander Mehler, University of Bielefeld, Germany
  - Elisabeth Métais, Cnam Cedric Paris, France
  - Antonio Moreno, University Rovira i Virgili, Spain
  - Roberto Navigli, Universtià degli Studi di Roma "La Sapienza", Italy
  - Claire Nédellec, Laboratoire Mathématique Informatique et Génome,
    Jouy-en-Josas, France
  - Rainer Osswald, FernUniversität Hagen, Germany
  - Patrick Pantel, University of Southern California, USA
  - Youngja Park, IBM Research, USA
  - Thierry Poibeau, Université Paris-Nord, France
  - Uwe Quasthoff, University of Leipzig, Germany
  - Deepak Ravichandran, University of Southern California, USA
  - German Rigau, Universitat Politècnica de Catalunya, Spain
  - Horacio Rodriguez, Universitat Politècnica de Catalunya, Spain
  - Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg, Germany
  - Vojtech Svatek, University of Economics Prague, Czech Republic


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