Deadline extension: IRMLeS'10: 2nd Int. Workshop on Inductive Reasoning and Machine Learning on the Semantic Web @ ESWC 2010

[Agnieszka.Lawrynowicz at cs.put.poznan.pl]

------------- Apologies for multiple cross-postings ---------------------

======================= DEADLINE EXTENSION ================================

The new proposed schedule of important dates is as follows:
============================================================

     * Abstract submission:  10 March 2010 (NEW)
     * Paper submission:     12 March 2010 (EXTENDED)
     * Notification          7 April 2010  (EXTENDED)
     * Camera-ready:         18 April 2010
     * Workshop day:         31 May 2010


The 2nd ESWC Workshop on Inductive Reasoning and Machine Learning for the
Semantic Web (IRMLeS 2010)
May, 31st  2010 | Heraklion, Greece
http://irmles.di.uniba.it/2010/

In conjunction with the
7th Extended Semantic Web Conference (ESWC 2010)
http://www.eswc2010.org/


*NEW* Invited speakers
=============================================================
Steffen Staab, University of Koblenz-Landau
Melanie Hilario, University of Geneva


Overview
============================================================

The upcoming 2nd International Workshop on Inductive Reasoning and Machine
Learning for the Semantic Web (IRMLeS), will be held as part of the 7th
Extended Semantic Web Conference (ESWC) in Heraklion, Crete (Greece). The
primary goal of the workshop is to bring together researchers and
practitioners interested in the interdisciplinary research on the
intersection of the Semantic Web with Knowledge Discovery and Machine
Learning. The workshop is conceived to provide a meeting point for the
related communities to stimulate collaboration and enable
cross-fertilization of ideas.

Large amounts of data increasingly becoming available and described using
real-life ontologies represented in Semantic Web languages recently
opened up the possibility for interesting real-world data mining
applications on the Semantic Web. However, exploiting this global resource
of data requires new kinds of approaches for data mining and data analysis
that would be able to deal at the same time with its scale and with the
complexity, expressivity, and heterogeneity of the representation
languages, leverage on availability of ontologies and explicit semantics
of the resources, and account for novel assumptions (e.g., "open world")
that underlie reasoning services within the Semantic Web.

The workshop will try to address the above issues, in particular focusing
on the problems of how machine learning techniques, such as statistical
learning methods and inductive forms of reasoning, can work directly on
the richly structured Semantic Web data and exploit the Semantic Web
technologies, what is the value added of machine learning methods for the
Semantic Web, and what are the challenges for developers of machine
learning techniques for the Semantic Web data, for example in the area of
ontology mining.


Topics of interest
============================================================

The topics of interest of the workshop include, but are not limited to:

    * Knowledge Discovery and Ontologies: data mining techniques using
ontologies, ontology mining and knowledge discovery from ontological
knowledge bases, ontology-based interpretation and validation of
discovered knowledge, evaluation methodologies and metrics for the
interaction of knowledge discovery and ontologies, whole knowledge
discovery process guided by ontologies
    * Inductive Reasoning with Concept Languages: inductive aggregation,
concept retrieval and query answering, approximate classification,
inductive methods and fuzzy reasoning for ontology mapping,
construction and evolution, concept change and novelty detection for
ontology evolution
    * Statistical learning for the Semantic Web: refinement operators for
concept and rule languages, concept and rules learning, kernels and
instance-based learning for structured representations, semantic (dis
)similarity measures and conceptual clustering, probabilistic methods
for concept and rule languages
    * Special focus topics: OWA vs CWA in learning, applicability of
relational learning in the Semantic Web context, integration of
induction and deduction, benchmarking of datasets
    * Applications: (in the domains of the main tracks of ESWC) plus life
sciences, cultural heritage, semantic multimedia, geo-informatics, and
others

Paper submisssion
============================================================

The contributed papers, written in English, should be submitted in PDF or
PostScript format, not exceeding the following limits
    * 12 pages (full papers)
    * 5 pages (position papers)
following the ESWC formatting style (Springer LNCS).

All submissions will be reviewed by at least 2 referees.

In addition to the ESWC workshop proceedings, depending on the quality and
quantity of submissions, it is intended to publish a selection of revised
accepted papers in a journal special issue or a book volume.


Organizing Committee
============================================================
    * Claudia d'Amato, University of Bari, Italy
    * Nicola Fanizzi, University of Bari, Italy
    * Marko Grobelnik, Jozef Stefan Institute, Slovenia
    * Agnieszka Lawrynowicz, Poznan University of Technology, Poland
    * Vojtech Svatek, University of Economics, Prague, Czech Republic


Program Committee
============================================================

   * Sarabjot S. Anand - University of Warwick
   * Bettina Berendt - Katholieke Universiteit Leuven
   * Abraham Bernstein - University of Zurich
   * Floriana Esposito - University of Bari
   * Mohand-Said Hacid - University Lyon 1
   * Melanie Hilario - University of Geneva
   * Andreas Hotho - University of Kassel
   * Jose Iria - IBM Research, Zurich
   * Ross D. King - University of Aberystwyth
   * Jens Lehmann - University of Leipzig
   * Francesca A. Lisi - University of Bari
   * Thomas Lukasiewicz - Oxford University
   * Matthias Nickles - University of Bath
   * Sebastian Rudolph - University of Karlsruhe
   * Jetendr Shamdasani - University of the West of England
   * Steffen Staab - University of Koblenz-Landau
   * Umberto Straccia - ISTI-CNR, Pisa
   * Volker Tresp - Siemens

Further information
============================================================

http://irmles.di.uniba.it/2010/