Appel: Linguistic Description of Data (GELIDD)

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Sun Jul 1 16:46:32 UTC 2012

Date: Thu, 28 Jun 2012 14:30:49 +0200
From: Francois Portet <Francois.Portet at>
Message-ID: <4FEC4E79.4050606 at>

* Call for Papers *

* 1st Workshop on Generating Linguistic Descriptions of Data (GeLiDD) *


* in conjunction with IEEE ICDM 2012, Brussels, Belgium, Dec. 10-13,
  2012 *


Linguistic Description of Data (LDD) is the description of relevant
aspects of a dataset for a human user given in textual form.  This is
especially important due to the growing amount of data stored and
accessible not only to companies and organizations for management
purposes, but to common people that is interested in having concise and
understandable information and advices on the basis of the evolution of
their data. The latter include not only data from their professional
activity, but personal data like energy bills, clinical tests, etc., as
well as freely-available data about topics of general interest like
weather, contamination, traffic, or the price of any kind of products.

LDD has an enormous potential for helping both organizations and common
people in automatically obtaining periodical, understandable reports and
updates of data of their interest, as well as on-demand summaries,
without becoming an expert in knowledge representation and uncertainty

LDD is related to research areas like Natural Language Generation (NLG),
Knowledge Discovery in Databases (KDD), Flexible Query Answering Systems
for Data (FQAS), and Human-Machine Interaction (HMI). NLG, the task of
generating NL from a machine representation, has provided the current
state-of-the-art, technologies in LDD. Like KDD, LDD is intended to
provide novel, interesting, previously unknown, and potentially useful
knowledge, particularly in the form of a collection of natural language
sentences. In addition to the usual data mining tasks, LDD requires the
development of models for representing the semantics of language
expressions, and how they will be used. LDD is also related to FQAS
because of the inherent imprecision, vagueness, and uncertainty in
linguistic terms and sentences, as well as the necessity to assess
validity and relevance. Finally, LDD intends to improve human-machine
interaction, performing automatic natural language generation with
adaptation to specific users and contexts. All the aforementioned are
key topics of research within this area.

The objective of this workshop is to provide a forum for the exposition
and discussion of the most recent developments in LDD. Topics of
interest include, but are not restricted to

  * Association rules extraction for LDD
  * Rule learning for content determination
  * Concept extraction from data
  * Pattern extraction and discourse models for discourse planning
  * Syntactic realization of knowledge extracted from data
  * Clustering of data and messages for LDD
  * Architecture of LDD generators
  * Modeling the semantics of linguistic terms employed in LDD and
    lexical choice
  * Learning Ontologies from Data
  * Content selection and determination for LDD
  * Linguistic human-machine interaction for data access and description
  * Computing with Words for LDD
  * Uncertainties in language
  * Models for assessing relevance of linguistic expressions.
  * LDD Applications: description of time series data, visual
    information, databases, etc.

Submission *

Submission instructions can be found at

Submission of papers is via the on-line submission system at

choosing Workshop 7: Generating Linguistic Descriptions of Data.

* Important dates *

*Paper submission*
August 10th, 2012

*Notification of acceptance*
October 1st, 2012

*Camera-ready copies and copyright forms*
October 15th, 2012

December 10th, 2012

* Contact *

Nicolás Marín nicm at

Daniel Sánchez daniel.sanchezf at 

Gracián Triviño gracian.trivino at 

* Organizing Committee (in alphabetical order)  *

· *Nicolás Marín*. University of Granada (Spain)

· *Daniel Sánchez*. University of Granada & European Centre for Soft
  Computing (Spain)

· *Gracián Triviño*. European Centre for Soft Computing (Spain)

* Program Committee  *

· *Alberto Álvarez*, European Centre for Soft Computing (Spain)

· *Bernadette Bouchon-Meunier*, University Paris LIP6 (France)

· *Alberto Bugarín*, University of Santiago de Compostela (Spain)

· *Christer Carlsson*, Abo Akademi University (Finland)

· *Rita Castillo-Ortega*, University of Granada (Spain)

· *Juan Carlos Cubero*, University of Granada (Spain)

· *Robert Dale*, Macquarie University (Australia)

· *Kees van Deemter*, University of Aberdeen (UK)

· *Félix Díaz-Hermida*, University of Santiago de Compostela (Spain)

· *Luka Eciolaza*, European Centre for Soft Computing (Spain)

· *Albert Gatt*, University of Malta (Malta)

· *Helmut Horacek*, Universität des Saarlandes (Germany)

· *Eyke Hüllermeier*, University of Marburg (Germany)

· *Janusz Kacprzyk*, Polish Academy of Sciences (Poland)

· *James M. Keller*, University of MIssouri-Columbia (USA)

· *Emiel Krahmer*, Tilburg University (Netherlands)

· *Jonathan Lawry*, University of Bristol (UK)

· *Carmen Martínez-Cruz*, University of Jaén (Spain)

· *Juan Moreno*, University of Castilla-La Mancha (Spain)

· *François Portet*, University of Grenoble (France)

· *Ehud Reiter*, University of Aberdeen (UK)

· *María-Dolores Ruiz*, University of Granada (Spain)

· *Rudolf Seising*, European Centre for Soft Computing (Spain)

· *Yaji Sripada*, University of Aberdeen (UK)

· *Andrea G. B. Tettamanzi*, Universitá degli Studi di Milano (Italy)

· *Guy de Tré*, Ghent University (Belgium)

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