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[CFP] IRMLeS 2011 The 3rd ESWC Workshop on Inductive Reasoning and Machine Learning for the, Semantic Web

From: Claudia d'Amato <claudia.damato@di.uniba.it>
Date: Tue, 08 Mar 2011 17:30:15 +0100
Message-ID: <4D765997.30809@di.uniba.it>
To: destinatari-ignoti:;
------------- Apologies for multiple cross-postings ---------------------

CALL FOR PAPERS

The 3rd ESWC Workshop on Inductive Reasoning and Machine Learning for the
Semantic Web (IRMLeS 2011)
30 May 2011 | Heraklion, Greece
http://irmles.di.uniba.it/2011/

In conjunction with the
8th Extended Semantic Web Conference (ESWC 2011)
http://www.eswc2011.org


Important dates
============================================================

     * Paper submission:    14 March 2011
     * Notification         5 April 2011
     * Camera-ready:        15 April 2011
     * Workshop day:        30 May 2011


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

The upcoming 3rd International Workshop on Inductive Reasoning and Machine
Learning for the Semantic Web (IRMLeS), will be held as part of the 8th
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.

The Semantic Web is often perceived to be a global, distributed database
of meaningfully represented data, 'Web of Data'. Due to the initiatives
like Linking Open Data or community efforts to integrate various
ontological resources like bio-ontologies, the number of resources
available on the Semantic Web is currently growing fast, and many of them
are linked by explicit semantic relationships. The heterogeneity of these
resources and inherently open, distributed, and incomplete nature of the
Web environment pose problems for deductive approaches, traditionally
employed to reason with logic-based ontological data. Therefore, new,
complementary forms of reasoning are needed on the Semantic Web, such as
inductive reasoning.
Exploiting 'Web of Data' requires new kinds of inductive approaches that
would be able to deal at the same time with its scale and with the
complexity and expressivity 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.

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, ontology-based meta
mining

* 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

* Inductive aspects of Linked Data aggregations: learning from Linked Data
to construct new vocabularies or improve existing ones, learning the
mappings among vocabularies, learning for resource interlinking and entity
fusion

* Web mining for the Semantic Web: graph mining, link prediction,
(sequential) pattern mining, learning semantic relations, ranking methods
and learning to rank

* 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:  (life sciences, cultural heritage, semantic multimedia,
geo-informatics, recommender systems and others)

Invited speaker
============================================================

Prof. Bettina Berendt &#8211; Katholieke Universiteit Leuven

Paper submission
============================================================

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, a selection of best ESWC
workshop papers will be published this year in LNCS series by Springer.


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


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

    * Bettina Berendt - Katholieke Universiteit Leuven
    * Stephan Bloehdorn - Karlsruhe Institute of Technology
    * Ross D. King - University of Aberystwyth
    * Jens Lehmann - University of Leipzig
    * Thomas Lukasiewicz - Oxford University
    * Matthias Nickles - University of Bath
    * Achim Rettinger - Karlsruhe Institute of Technology
    * Thomas Scharrenbach - University of Zurich
    * Steffen Staab - University of Koblenz-Landau
    * Volker Tresp - Siemens
    * Joaquin Vanschoren - Leiden University


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

http://irmles.di.uniba.it/2011


Received on Tuesday, 8 March 2011 16:30:50 GMT

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