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Freitag, 17. September 2010

Australasian Ontology Workshop (AOW 2010)

6th Australasian Ontology Workshop (AOW 2010)
                              7 December 2010 
                       Held in Conjunction with the 
23rd Australasian Joint Conference on Artificial Intelligence (AI2010)
                              Adelaide, Australia
                   http://krr.meraka.org.za/~aow2010

AOW 2010 is the sixth in a series of workshops on ontologies held 
in the Australasian region.

The primary aim of the workshop is to bring together active researchers in
the broad area of ontologies. Topics of interest include, but are not 
limited to:

- Ontology models and theories         
- Ontologies and the Semantic Web     
- Interoperability in ontologies      
- Ontologies and Multi-agent systems                                        
- Description logics for ontologies  
- Reasoning with ontologies 
- Ontology harvesting on the web      
- Ontology of agents and actions
- Ontology visualisation  
- Ontology engineering and management
- Ontology-based information extraction  and retrieval
- Ontology merging, alignment and integration
- Web ontology languages
- Formal concept analysis and ontologies 
- Ontologies for e-research
- Linking open data
- Significant ontology applications

The proceedings of all previous Australasian Ontology 
Workshops were published in the CRPIT Series and this 
will also be the case for AOW 2010.

Authors of the best papers will be invited to submit 
extended versions of their AOW 2010 papers as chapters in 
a forthcoming Springer book.

For the second year running, AOW 2010 will have a best paper 
award, with a prize of $250(AUD) being awarded to the 
author(s) of the best paper. 

Important Dates:
Paper submission deadline: 24 September 2010
Notification of acceptance/rejection: 22 October 2010
Camera-ready copies due: 12 November 2010
AOW 2010: 7 December 2010

Papers must be submitted via the EasyChair system at

http://www.easychair.org/conferences/?conf=aow2010

Workshop Chairs:
Thomas Meyer
Meraka Institute, South Africa
tommie.meyer@meraka.org.za

Mehmet Orgun
Macquarie University
mehmet.orgun@mq.edu.au

Kerry Taylor
CSIRO ICT Centre
Kerry.Taylor@csiro.au


Program Committee :
Franz Baader (TU Dresden, Germany)
Arina Britz (Meraka Institute, South Africa)
Werner Ceusters (SUNY Buffalo, USA)
Michael Compton (CSIRO, Australia)
Oscar Corcho (Universidad Politecnica de Madrid, Spain)
R. Cenk Erdur (Ege University, Turkey)
Aurona Gerber (Meraka Institute, South Africa)
Dennis Hooijmaijers (University of South Australia, Australia)
Bo Hu (SAP Research, UK)
Renato Iannella (NICTA, Australia)
Ken Kaneiwa (NICT, Japan)
Marijke Keet (Free University of Bolzano, Italy)
Kevin Lee (NICTA and UNSW, Australia)
Laurent Lefort (CSIRO, Australia)
Costas Mantratzis (University of Westminster, UK)
Lars Moench (University of Hagen, Germany)
Maurice Pagnucco (UNSW, Australia)
Debbie Richards (Macquarie University, Australia)
Rolf Schwitter (Macquarie University, Australia)
Murat Sensoy (Bogazici University, Turkey)
Markus Stumptner (University of South Australia, Australia)
Boontawee (Meng) Suntisrivaraporn (Thammasat University, Thailand)
Sergio Tessaris (Free University of Bolzano, Italy)
Nwe Ni Tun (National University of Singapore, Singapore)
Ivan Varzinczak (Meraka Institute, South Africa)
Kewen Wang (Griffith University, Australia)

Event Recognition

=======================================
Special Issue on Event Recognition
Applied Artificial Intelligence Journal
=======================================

Users and organisations collect data in various structured and unstructured digital formats, but they cannot fully utilise  these  data  to  support content and  resource  management.  It is evident that the analysis  and  interpretation  of  the  available  data  needs  to  be  automated,  in  order  for  large  data volumes to be  transformed into operational  knowledge. Events are particularly important pieces of 
knowledge,  as  they represent activities  of  special  significance  both  for  users  and  organisations. Therefore, the recognition of events is of utmost importance. Consider, for example, the recognition of trends given user contributions in social Web 2.0 applications, the recognition of attacks on nodes of a computer network given the exchanged TCP/IP messages, the recognition of suspicious trader 
behaviour  given  the  transactions  in  a  financial  market,  and  the  recognition  of  various  types  of cardiac arrhythmia given electrocardiograms. 
We  invite quality submissions focusing  on various aspects of event recognition, including  analysis of video, audio, text and other sensor data, as well as recognition on fused data sources. While we place  emphasis  on  theoretical  contributions,  we  also  welcome  papers  describing  interesting applications. 

Broad topics include:
=====================
- Representation languages for event recognition
- Algorithms for real-time event recognition
- Probabilistic reasoning for event recognition 
- Machine learning for event recognition 
- Event recognition architectures 
- Benchmarks, performance evaluations, and testbeds
- Domain-specific deployments of event recognition systems 
- Multimedia and social media analysis for event recognition 
- Clustering, concept recognition and multi-modal/fusion techniques 
- User interaction and interfaces for event navigation, browsing and management

Key Dates
=========
December 1, 2010 - Submissions
July 10, 2011 - Final Decisions
Publication - November 2011

Info
====
Email: events2010@iti.gr
Journal web site: http://www.tandf.co.uk/journals/titles/08839514.asp

Guest Editors
=============
Thomas Winkler, Fraunhofer IAIS, Germany
Alexander Artikis, NCSR Demokritos
Yiannis Kompatsiaris, CERTH-ITI, Greece
Phivos Mylonas, NTUA, Greece

Context-awareness in Retrieval and Recommendation

CALL FOR PAPERS

CaRR2011 :: IUI2011 Workshop on Context-awareness in Retrieval and Recommendation
Location: Palo Alto, California, USA
Date: February 13, 2011

General Information:
--------------------
Context-aware information is widely available in various ways such as interaction patterns, location, devices, annotations, query suggestions and user profiles and is becoming more and more important for enhancing retrieval performance and recommendation results. At the moment, the main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Further relevant issues are personalizing and adapting the information and the way it is displayed to the user's current situation (device, location) and interests.
In this workshop we focus on the integration of context for retrieval and recommendation.
We recognize a general content context and a user-centric content context.
A general content context is a common case defined by time, weather, location and many similar other aspects. A user-centric content context is given by the content of user profiles such as language, interests, devices used for interaction, etc.

Call for Papers:
----------------
The aim of the CaRR Workshop is to invite the community to a discussion in which we will try to find new creative ways to handle context-awareness. Furthermore, the workshop aims at improving the exchange of ideas between different communities involved in research concerning, among other machine learning, information retrieval and recommendation.
The workshop is especially intended for researchers working on multidisciplinary tasks who want to discuss problems and synergies. We are interested in ideas about creative and collaborative approaches for context-aware retrieval and recommendation.

The participants are encouraged to address the following questions:

    * Why is context-awareness in retrieval and recommendation necessary?
    * Which benefits come from context-aware retrieval and recommendation systems?
    * How do user interfaces handle context?
    * In what ways can context improve HCI?
    * How can we combine general- and user-centric context-aware technologies?
    * How should context affect the way information is presented?

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

    * Context-aware information retrieval
    * Context-aware profiling, clustering and collaborative filtering
    * Machine learning for context-aware information retrieval and ontology learning
    * Ubiquitous and context-aware computing
    * Use of context-aware technologies in UI/HCI
    * Context-aware advertising
    * Recommendations for mobile users
    * Context-awareness in portable devices

Paper submissions and reviews will be handled electronically through the CaRR page in EasyChair (which will be made available at a later point in time).

Important dates:
* Paper submission: November 1, 2010
* Notification: December 12, 2010
* Camera-ready submission: December 19, 2010
* Workshop: February 13, 2010

Organizers and Committees:
--------------------------
General Chairs (carr2011@dai-lab.de)
* Ernesto William De Luca, DAI Lab/Technische Universität Berlin
* Alan Said, DAI Lab/Technische Universität Berlin
* Matthias Böhmer, Münster University of Applied Sciences
* Florian Michahelles, ETH Zurich

Industrial Chair
* Sahin Albayrak, DAI Lab/Technische Universität Berlin

Program Committee
------------------
* Sarabjot Singh Anand, University of Warwick, UK
* Gernot Bauer, Münster University of Applied Sciences, Germany
* Shlomo Berkovsky, CSIRO, Australia
* Toine Bogers, Royal School of Library Information Science, Denmark
* Gregor Broll, LMU/Docomo, Germany
* Li Chen, Hong Kong Baptist University, China
* Ed Chi, PARC, USA
* Marco Degemmis, University of Bari “Aldo Moro”, Italy
* Aldo Gangemi, Italian National Research Council, Italy
* Ido Guy, IBM, Israel
* Olaf Hartig, Humboldt-Universität zu Berlin, Germany
* Dietmar Jannach, TU-Dortmund, Germany
* Carsten Kessler, University of Münster, Germany
* Thomas Kirste, Universität Rostock, Germany
* Antonio Krüger, DFKI, Saarbrücken, Germany
* Michael Kruppa, DFKI, Berlin, Germany
* Neal Lathia, University College London, UK
* Ulf Leser, Humboldt-Universität zu Berlin, Germany
* Johannes Leveling, Dublin City University, Ireland
* Pasquale Lops, University of Bari “Aldo Moro”, Italy
* Bernd Ludwig, University of Erlangen-Nürnberg, Germany
* Stefan Mandl, University of Erlangen-Nürnberg, Germany
* Thomas Mandl, University of Hildesheim, Germany
* Marco Pennacchiotti, Yahoo!, USA
* Till Plumbaum, DAI Lab/Technische Universität Berlin, Germany
* Francesco Ricci, Free University of Bozen-Bolzano, Italy
* Christoph Schlieder, Universität  Bamberg, Germany
* Edmund Schuster, MIT, USA
* Bracha Shapira, Ben Gurion University, Israel
* Armando Stellato, University of Tor Vergata, Rome, Italy
* Jesse Vig, Universtity of Minnesota, USA
* Robert Wetzker, TU-Berlin, Germany
* Qiang Yang, Hong Kong University of Science and Technology, China



Best,

Ernesto William De Luca

**********************************************************************
Dr.-Ing. Ernesto William De Luca
Director of the Competence Center Information Retrieval & Machine Learning
Technische Universität Berlin - DAI-Laboratory Sekr. TEL 14
Ernst-Reuter-Platz 7
10587 Berlin / Germany
Phone:  +49 30 314 74074
Fax:    +49 30 314 74003
**********************************************************************

Nature Inspired Distributed Computing

**********************************************************************
                       The 14th International Workshop on 
                    Nature Inspired Distributed Computing 
                                  (NIDISC'11)
    http://nidisc2011.gforge.uni.lu/


                           held in conjunction with
                     The 25th IEEE International 
   Parallel and Distributed Processing Symposium  (IPDPS'2010)
                            16-20 May 2011
                        
                         Anchorage (Alaska) USA
                          http://www.ipdps.org
**********************************************************************

Workshop Theme :
=============

Techniques based on metaheuristics and nature-inspired paradigms can
provide efficient solutions to a wide variety of problems. Moreover,
parallel and distributed metaheuristics can be used to provide more
powerful problem solving environments in a variety of fields, ranging,
for example, from finance to bio- and health-informatics. This
workshop seeks to provide an opportunity for researchers to explore
the connection between metaheuristics and the development of solutions
to problems that arise in operations research, parallel computing,
telecommunications, bioinformatics, and many others. 

Topics of interest include, but are not limited to:
* Nature-inspired methods (e.g. ant colonies, GAs, cellular automata,
DNA and molecular computing, local search, etc) for problem solving
environments.
* Parallel and distributed metaheuristics techniques (algorithms,
technologies and tools).
* Applications combining traditional parallel and distributed
computing and optimization techniques as well as theoretical issues
(convergence, complexity, etc).
* Other algorithms and applications relating the above mentioned
research areas.

Prospective authors of high quality research contributions are invited
to submit an electronic copy of their manuscript not exceeding 8
two-column pages including figures and references in the traditional
IEEE format used in IPDPS. Please, use Postscript or PDF when
possible. In your email, please indicate paper title, author(s), and
the corresponding author.

A selected group of papers from the workshop will be invited to
submit extended versions of their papers to a special issue of an
international scholarly journal. Further announcements will be made
during the workshop.

General Chair :
============
- Albert Y. Zomaya, The University of Sydney -Australia- (zomaya@it.usyd.edu.au)


Program Co-chairs :
==============

- Pascal Bouvry, University of Luxembourg -Luxembourg- ( pascal.bouvry@uni.lu )
- Franciszek Seredynski, Polish Academy of Sciences -Poland- ( sered@ipipan.waw.pl )
- El-Ghazali Talbi, University of Lille, INRIA -France- ( talbi@lifl.fr )


Program Committee (to be completed) :
=====================================

E. Alba, University of Màlaga, Spain
M. Affenzeller, Univ. of Hagenberg, Austria
A. Al-Dubai, Edinburgh Napier University, United Kingdom
A. Al-Jumaily, University of Technology Sydney, Australia
L. Bononi, University of Bologna, Italy 
A. Boukerche, University of Ottawa, Canada
P. Bouvry, University of Luxembourg, Luxembourg
J. Branke, University of Karlsruhe, Germany
E. Cantù-Paz, Lawrence Livermore National Laboratory, USA
C. Coello, CINVESTAV-IPN, Mexico
T. Crainic, Univ. of Montreal, Canada
B. Di Martino, Univ. of Naples, Italia
T. El-Ghazawi, George Washington University, USA
P. Herrero, UPM, Spain
A. Lewis, Griffith University, Australia
M. Middendorf, University of Leipzig, Germany
N. Melab, University of Lille, France
M. D. Moore, Texas A & M - Corpus Christi, USA
S. Mostaghim, Univ. of Karlsruhe, Germany
A. J.Nebro, Univ. of Malaga, Spain
C. Ribeiro, Univ. of Fluminense, Brazil
H. Sarbazi-azad, Sharif University of Technology, Iran
G. Ch. Sirakoulis, Democritus University of Thrace, Greece
G. Spezzano, University of Calabria, Italy
Z. Tari, RMIT University, Australia
M. Tomassini, University of Lausanne, Switzerland
F. Xhafa, Universitat Politècnica de Catalunya, Spain

Publicity Chair:
==============================
- Grégoire Danoy, University of Luxembourg -Luxembourg- (gregoire.danoy@uni.lu)


Papers should be submitted to:
==============================

- P. Bouvry, University of Luxembourg -Luxembourg- ( pascal.bouvry@uni.lu )
- F. Seredynski, Polish Academy of Sciences  -Poland- ( sered@ipipan.waw.pl )
- E-G. Talbi, University of Lille, INRIA -France- ( talbi@lifl.fr )

 
Important Dates:
================
- Submission Deadline   - December 4, 2010
- Notification of Acceptance  - January  8, 2011
- Final Copy Due     - February 1, 2010




=========================
Gregoire Danoy, PhD
Scientific Collaborator
University of Luxembourg
FSTC - CSC - ILIAS
=========================

Emerging Synergies of Artificial Intelligence and Software Engineering

===== Call for Papers ====
 
A Special Issue on "Emerging Synergies of Artificial Intelligence and Software Engineering"
International Journal of Software Engineering and Knowledge Engineering
 
http://zimmer.csufresno.edu/~shliu/IJSEKE/
 
** Theme:
As software engineering is requested to answer dynamic, automated, adaptive, optimal and/or large-scale demands, other computer science disciplines come to play. Artificial Intelligence is one of them that may bring software engineering into further height. Conversely, software engineering techniques also play an important role to alleviate development cost and time of AI techniques as well as assist in introducing new AI techniques. Such mutually beneficial characteristics have appeared in the past few decades and still evolved due to new challenges. Several exemplified challenges include, but not limited to, how machine learning addresses software optimization problems derived from new software approaches (e.g., model-driven engineering, service-oriented computing, and cloud computing); and conversely how these new software approaches may help develop artificial intelligence-related software environments.
 
A special issue on "Emerging Synergies of Artificial Intelligence and Software Engineering" of the International Journal of Software Engineering and Knowledge Engineering will devote to the latest innovative “synergistic” AI and software engineering techniques/practices to the aforementioned challenges. Namely, we are interested in new and novel AI solutions to software engineering challenges, software engineering practices to answer AI obstacles, and techniques that could benefit these realms bi-directionally.
 
*** The special issue seeks high-quality original and unpublished papers in the following topics including but not limited to these topics:
• AI techniques for optimization, transformation, and configuration management
• AI techniques for software reuse, evolution, maintenance and refactoring
• AI techniques for ontology and other semantic aspects in software engineering
• AI techniques for business process management and business rules
• AI techniques for reverse engineering and program understanding
• AI techniques for aspect mining and pattern mining
• AI techniques for testing and quality assurance
• AI techniques for performance engineering (e.g., performance approximation, monitoring, and adaptation)
• AI techniques for software specification, design, integration and requirement engineering
• AI techniques for software analysis and validation
• AI techniques for cost analysis and risk assessment in software projects
• Agent-based software engineering
• Visual modeling and model-driven development for AI techniques
• Domain modeling and software language engineering (e.g., domain-specific languages) for AI techniques
• Service-oriented computing and Cloud computing for AI-based techniques/software
• Object-oriented and aspect-oriented frameworks to implement and evaluate AI techniques
• Formal methods for AI techniques
• Rapid prototyping and scripting for AI techniques
• Software for knowledge acquisition and representation
• Software metrics applied to AI techniques
• Search engines in AI
• User interfaces for AI techniques
 
AI techniques of interest include (but are not limited to):
• Machine Learning (unsupervised and supervised learning), Evolutionary Algorithms (e.g. GA, GP, ES), Swarm Intelligence, Simulated Annealing, Tabu Search, Probabilistic Reasoning, Fuzzy Logic, Neural Networks, Petri Nets, Data Mining, Game Theory, Time Series Analysis, Logic and reasoning, Knowledge representation, AI planning, among others.
 
*** Important Dates:
Paper submission due: February 15, 2011
Notification due: June 1, 2011
Revised paper submission due: August 15, 2011
Final notification: September 30, 2011
Camera-version due: October 15, 2011
Tentative publication date: February, 2012

*** Paper Preparation and Submission Guidelines: 
Instead of using Editorial Manager (for regular IJSEKE submissions), the special issue's paper submission page is available at http://www.easychair.org/conferences/?conf=aise11. Template and instructions of preparation of manuscripts are available at http://www.worldscinet.com/ijseke/mkt/guidelines.shtml. Manuscripts using correct template should be no longer than 20 pages. For more information, please contact the guest editors:

· Jun Suzuki, University of Massachusetts, Boston, USA (jxs (at) cs (dot) umb (dot) edu)
· Shih-Hsi “Alex” Liu, California State University, Fresno, USA (shliu (at) csufresno (dot) edu)
· Marjan Mernik, University of Maribor, Slovenia (marjan (dot) mernik (at) uni-mb (dot) si)

CALL FOR BIDS TO HOST AAMAS-2013

           CALL FOR BIDS TO HOST AAMAS-2013
           ================================

This is a call for bids to host the Twelfth International Conference
on Autonomous Agents and Multiagent Systems (AAMAS) in 2013.  We will
consider bids from all geographical regions; however, for the 2013
conference, we particularly encourage bids from the Americas.

Please note we seek bids from volunteers from the scientific
community, though they may be supported by paid meeting
professionals.

BIDDING PROCEDURE AND IMPORTANT DATES

All correspondence regarding bids should be directed by email to the
IFAAMAS Conference Committee Chair (Munindar P. Singh
) and Chair Elect (Onn Shehory ).

Bids should be made by individuals or small groups, with the backing
of a host institution (typically a university or research center).
Groups or individuals who are planning to submit a bid should notify
Drs. Singh and Shehory of their intention as soon as possible.

* Now: Expression of interest and queries.
* November 17, 2010: Submission of final bid.
* November 18, 2010-February 28, 2011: Potential discussions with
  bidders; internal discussions in the IFAAMAS Board.
* March 1, 2011: Decision.

ADDITIONAL DETAILS

Please carefully review the full call for bids, which is available at
http://www.csc.ncsu.edu/faculty/mpsingh/activities/IFAAMAS/AAMAS-2013-CfB.txt