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ESWC Inductive & Probabilistic 2011 : CFP for ESWC'2011 special track on Inductive and Probabilistic Approaches

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Link: http://www.eswc2011.org
 
When May 29, 2011 - Jun 2, 2011
Where Heraklion, Crete, Greece
Abstract Registration Due Dec 6, 2010
Submission Deadline Dec 13, 2010
Notification Due Feb 21, 2011
Final Version Due Mar 7, 2011
Categories    semantic web   data mining   machine learning   probabilistic approaches
 

Call For Papers

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


CALL FOR PAPERS

The 8th Extended Semantic Web Conference (ESWC)
*Special track on Inductive and probabilistic approaches*
http://www.eswc2011.org/
May 29 - June 2, 2011, Heraklion, Greece


* Abstract submission: December 6, 2010 (compulsory) *
* Full-paper submission: December 13, 2010 (11:59 pm Hawaii time) *


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

Approaches dealing with formalized knowledge fall in the spectrum between
"knowledge-driven" and "data-driven" methods. Data-driven approaches are
focused on the creation of new knowledge by extraction and mining it
directly from data. They are suitable for scenarios where existing
knowledge (in the form of ontologies or domain knowledge for example) is
not available and is expensive to create. Data driven approaches operate
on instances collected from the observed environment. In this track we
invite contributions using methods from research areas such as statistical
modeling, machine learning, Data/Text/Web-mining motivated by and/or
applied to semantic technologies. We are interested in submissions that
describe approaches tested and applied to large real-world data sets.


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

In particular we welcome submissions on (but not limited to):

* Dealing with large amounts of real-world data
* Methods for combining top-down and bottom-up techniques
* Extraction and augmentation of ontological knowledge from data using
statistical and machine learning methods
- Ontology Learning/Mining
- Ontology Mapping and Mediation
- Learning Semantic Relations
- Information Extraction
* Use of existing ontological knowledge for improving Analytics systems
* Web mining for the Semantic Web
- Graph Mining
- Social Network Analysis
- Link Prediction
- Statistical relational learning
- Ranking methods and Learning to Rank
- Inductive Logic Programming on the Semantic Web
* Advances in semantic technologies using analytics approaches
- Refinement operators for concept and rule languages
- Probabilities formal representations
- Probabilistic methods for concept and rule languages
- Semantic (dis-)similarity measures
- Kernels for structured representations
* Applications of inductive and probabilistic methods (such as Consumer
applications, life sciences, semantic multimedia, Search, Geo-informatics,
recommender systems)

Submission Details
=========================================================================

The proceedings of the conference will be published in Springer's
Lecture Notes in Computer Science series. Papers must not exceed fifteen
(15) pages in length and must be formatted according to the information
for LNCS authors. At least one author of each accepted paper must
register for the conference in order for the paper to be included in the
conference proceedings. Papers for the Inductive and probabilistic
approaches track should be submitted at:

http://www.easychair.org/conferences/?conf=eswc2011datadriven

Important Dates
=========================================================================

* Abstract submission: December 6, 2010 (compulsory)
* Full-paper submission: December 13, 2010 (11:59 pm Hawaii time)
* Notification of acceptance/rejection: February 21, 2011
* Camera-ready papers: March 7, 2011


Track chairs
=========================================================================

Rayid Ghani - Accenture Technology Labs, US
Agnieszka Lawrynowicz - Poznan University of Technology, PL


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

Sarabjot S. Anand - University of Warwick, UK
Mikhail Bilenko - Microsoft Research, US
Stephan Bloehdorn - Karlsruhe Institute of Technology, DE
Claudia d'Amato - University of Bari, IT
Nicola Fanizzi - University of Bari, IT
Blaz Fortuna - Institute Jozef Stefan, SI
Melanie Hilario - University of Geneva, CH
Luigi Iannone - University of Manchester, UK
Ivan Jelinek - Czech Technical University, CZ
Jörg-Uwe Kietz - University of Zurich, CH
Ross D. King - University of Aberystwyth, UK
Jens Lehmann - University of Leipzig, DE
Yan Liu - University of Southern California, US
Matthias Nickles - University of Bath, UK
Sebastian Rudolph - Karlsruhe Institute of Technology, DE
Dou Shen - Microsoft Adcenter Labs, US
Sergej Sizov - University of Koblenz-Landau, DE
Umberto Straccia - ISTI-CNR, IT
Vojtech Svatek - University of Economics, Prague, CZ
Volker Tresp - Siemens, DE
Joaquin Vanschoren - Leiden University, NL

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