Andrew MacFarlane | 5 Oct 2005 08:36
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ISI-2006 Call for Papers

<Apologies if you receive this more than once>

======================================================================
                           CALL FOR PAPERS
======================================================================
=======================================================================
                     IEEE International Conference on
	     Intelligence and Security Informatics (ISI-2006)
  -----------------------------------------------------------------
	     Conference Web site: http://www.isiconference.org
	       May 22-24, 2006, Southern California, U.S.A.

***************
Important Dates
***************
 - Paper submission due	        January 20, 2006
 - Notification of acceptance	February 15, 2006
 - Camera-ready copy due	February 28, 2006
 - Tutorial/workshop proposals  February 15, 2006

************************
Hosts and Major Sponsors
************************
Hosts:
  -     University of California, Irvine
  -     University of Arizona
  -     University of Texas, Dallas

Major Sponsors:
  -     Institute of Electrical and Electronics Engineers
(Continue reading)

Tony Rose | 8 Oct 2005 15:57

BCS IRSG Industry Day

CALL FOR ABSTRACTS

                     BCS IRSG Industry Day
                      in association with
        28th European Conference on Information Retrieval (ECIR 2006)

     13th April 2006, British Computer Society Headquarters, London, UK

             http://ecir2006.soi.city.ac.uk/index.php?page=indust

DESCRIPTION:
For the first time in its history, ECIR will be followed by a special
day devoted to the interests and needs of Information Retrieval
practitioners. The Industry Day after ECIR 2006 is devoted to the
challenges involved in designing and developing operational IR products
and services, and aims to build bridges between IR specialists in
industry and academia. This forum presents an opportunity for commercial
organisations and individuals to share their work with a wider audience,
and for researchers to learn more about the issues and problems faced by
IR practitioners in developing practical solutions for the information
search and retrieval industry.

The scope of Industry Day 2006 covers all the areas addressed by ECIR
2006 (http://ecir2006.soi.city.ac.uk/index.php?page=call), but we are
particularly interested in presentations and demonstrations of the
following:

* search engines (web & enterprise) 
* information architecture & navigation 
* knowledge & content management 
(Continue reading)

Mark Sanderson | 8 Oct 2005 22:24
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HLT-NAACL 2006 Call for Papers

                         HLT-NAACL 2006 Call for Papers
        Human Language Technology Conference/North American chapter of the
             Association for Computational Linguistics annual meeting

                               June 4-9, 2006
          New York Marriott at the Brooklyn Bridge, Brooklyn, New York
                     http://nlp.cs.nyu.edu/hlt-naacl06

General Conference Chair: Robert Moore (Microsoft Research)
Program Co-Chairs:
    Jeff Bilmes (University of Washington)
    Jennifer Chu-Carroll (IBM T.J. Watson Research Center)
    Mark Sanderson (Sheffield University)

Program Committee:
    Johan Bos (University of Edinburgh)
    Jamie Callan (CMU)
    Joyce Chai (Michigan State University)
    Jason Eisner (Johns Hopkins University)
    Mark Gales (University of Cambridge)
    Fred Gey (Berkeley)
    Roxana Girju (UIUC)
    Mark Hasegawa-Johnson (UIUC)
    Julia Hirschberg (Columbia University)
    Alon Lavie (CMU)
    Wei Ying Ma (Microsoft Beijing)
    Mehryar Mohri (NYU)
    Marius Pasca (Google)
    Gerald Penn (University of Toronto)
    Dragomir Radev (University of Michigan)
    Owen Rambow (Columbia University)
    Steve Renals (University of Edinburgh)
    Stefan Riezler (PARC)
    Amanda Stent (SUNY Stony Brook)
    Rohini Srihari (SUNY Buffalo)
    Michael Strube (EML Research)
    Christoph Tillmann (IBM Watson)
    Peter Turney (National Research Council Canada)
    Ellen Voorhees (NIST)
    Ralph Weischedel (BBN)
    Fei Xia (University of Washington)
    ChengXiang Zhai (UIUC)    
    Ming Zhou (Microsoft Beijing)
 
Local Arrangements Chair: Satoshi Sekine (New York University)

HLT-NAACL 2006 continues the combination of the Human Language
Technology Conferences (HLT) and North American Chapter of the
Association for Computational Linguistics (NAACL) Annual Meetings
begun in 2003. Human language technology incorporates a broad spectrum
of disciplines working towards enabling computers to interact with
humans using natural language, and providing services such as speech
recognition, automatic translation, information retrieval, text
summarization, and information extraction.

HLT-NAACL 2006 will run from Sunday June 4 through Friday June 9. The
schedule will include full papers, late-breaking (short) papers,
demonstrations, as well as pre- and post-conference tutorials and
workshops. The conference organization is overseen by a board
representing the North American Chapter of the Association for
Computational Linguistics (NAACL), HLT funding agencies in North
America, as well as the SIGIR and ISCA communities.

Topics of Interest

The conference invites the submission of papers on substantial,
original, and unpublished research on all aspects of human language
processing, with special interest in synergistic combinations of
language technologies (e.g., Speech with Information Retrieval,
Machine Translation with Speech, Question Answering with Natural
Language Processing, etc.).  Topics of interest include but are not
limited to:

 - Speech processing, including:
   o Speech recognition and speech generation
   o Rich transcription: automatic annotation of information structure
     and sources in speech
 - Information extraction, text summarization, and question answering
 - Information retrieval
 - Computational analysis of phonology, morphology, syntax, semantics,
   pragmatics, discourse, style
 - Statistical and learning techniques for language processing, including
   o Corpus-based language modeling
   o Lexical and knowledge acquisition
 - Language generation and text planning
 - Multilingual processing, including
   o Machine translation of speech and text
   o Cross-language information retrieval
   o Multi-lingual speech recognition and language identification
 - Multimodal representations and processing
 - Evaluation, including
   o Glass-box evaluation of HLT systems and system components
   o Black-box evaluation of HLT systems in application settings
 - Development of language resources, including
   o Lexicons and ontologies
   o Treebanks, proposition banks, and frame banks
 - Understanding of human communication, including
   o Natural language interfaces
   o Dialogue structure and dialogue systems
   o Message and narrative understanding systems

Submission Information

Full Papers

Requirements: Submissions must describe original, completed,
unpublished work, and include concrete evaluation results when
appropriate. Submissions will be judged on correctness, originality,
technical strength, significance and relevance to the conference, and
interest to the attendees. As reviewing will be blind, no information
identifying the authors should be in the paper: this includes not only
the authors' names and affiliations, but also self-references that
reveal authors' identities; for example, "We have previously shown
(Smith 1999)" should be changed to "Smith (1999) has previously
shown". Separate identification information is required, and will be
part of the web submission process.

Format: Submissions must be electronic in PDF, should follow the
two-column format of ACL proceedings, and should not exceed eight (8)
pages, including references. Please see the conference website for
detailed typesetting specifications. Authors are strongly encouraged
to use the LaTeX or Microsoft Word style files available on the
conference website.

Reviewing: The reviewing of the papers will be blind. Reviewing will
be managed by a Conference Program Committee consisting of senior
Program Committee Members and associated Program Committee
Members. Each submission will be reviewed by at least three program
committee members.

Submission procedure: A PDF file of the paper must be uploaded onto
the system by 11:59pm EST of the deadline. Papers submitted after that
time will not be reviewed.  Authors who cannot submit a PDF file
electronically should contact the program co-chairs
(bilmes-w/ky8R6xCNKJaUV4rX00uodd74u8MsAO@public.gmane.org, jencc-r/Jw6+rmf7HQT0dZR+AlfA@public.gmane.org, or
m.sanderson-1V21x8GFL1deXsq7+8kxVA@public.gmane.org) before the due date to work out alternate
arrangements.

Late-Breaking (Short) Papers

The procedure for Short Papers submissions is identical to that for
Full Papers, except that

1. They may be accepted for oral presentation in plenary OR for
   presentation in a poster session;
2. The deadlines are later for short papers and posters than for full papers;
3. Short papers are restricted to four (4) pages in length, using the
   two-column ACL format;
4. Only two reviews per submission are guaranteed.

Multiple-Submission Policy

Papers that have been or will be submitted to other meetings or
publications must provide this information at submission time.  In the
event of multiple acceptances, authors must notify the program chairs
as to the meeting they choose to present their work by February 27,
2006, at the latest in order for their work to be included in the
proceedings. HLT-NAACL 2006 cannot accept for publication work that
will be (or has been) published elsewhere. Papers that overlap with
other papers that have appeared at a conference with published
proceedings must contain significant new results. Authors must include
on the title page a list of previous papers that overlap with the
submission, and identify significant new results contained in the
submission. The program co-chairs have the final decision about what
constitutes significant new results.

Important Dates

December 16, 2005       Full Paper submissions due
February 23, 2006       Full Paper notification of acceptance
March 3, 2006            Short Paper submissions due
April 6, 2006            Short Paper notification of acceptance
April 17, 2006           Camera-ready full/short papers due
June 4-9, 2006           Conference


http://nlp.cs.nyu.edu/hlt-naacl06/


____________________________________________________________________
Mark Sanderson, Room 303               Tel: +44 (0) 114 22 22648
Department of Information Studies      Fax: +44 (0) 114 27 80300
University of Sheffield, Regent Court, mailto:m.sanderson-3Ch7lUbXYW61Qrn1Bg8BZw@public.gmane.org
Portobello St, Sheffield, S1 4DP, UK   http://dis.shef.ac.uk/mark/
____________________________________________________________________
Good judgement is from experience, experience is from bad judgement
Tony Rose | 19 Oct 2005 20:41

Search engine evaluation

Dear IR folks,

Does anyone have any practical experience of using the results of one 
search engine to "validate" the results of another? 

We are developing a prototype engine and want to measure its performance on 
an agreed test set. We have some suitable queries, but won't be in a 
position to manually generate any qrels (i.e. relevance judgements) for 
quite some time. So, in the meantime, would comparing the results against 
those of another engine (or engines) tell us anything valuable? Is there a 
quick way to achieve a reliable set of "Gold Standard" results? Or is 
waiting for the qrels the most meaningful option?

BTW I am aware of a couple of academic papers that describe how in 
principle you can eliminate system pooling, but what I'm really after is 
practical advice on what's doable within in a short timeframe, i.e. a 
couple of days or so.

Thanks,
Tony

Henrik Nottelmann | 20 Oct 2005 18:26
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Student travel awards for P2PIR 2005 workshop (co-located with CIKM)

     Call for Participation and Student travel awards for

                  CIKM workshop on 
  Information Retrieval in Peer-to-Peer-Networks (P2PIR)"

           Bremen, Germany, November 4, 2005

    http://p2pir.is.informatik.uni-duisburg.de/2005/

It is our great pleasure to invite you to the 2th Workshop on
Information Retrieval in Peer-to-Peer Networks - P2PIR 2005,
co-located with CIKM 2005 (it is possible to register for the workshop
only).

Students who have no other funding for the workshop visit can apply
for further a reimbursement of 100 EUR for the workshop fees. Please
note that only a limited number of reimbursement grants are possible.

Registration infos are available at:
http://p2pir.is.informatik.uni-duisburg.de/2005/registration.html 

About the workshop:

This year's workshop aims at bringing together young researchers from
Information Retrieval and Database Systems working on peer-to-peer
information systems. Both communities have their own strategies at
solving the problem of efficient and effective query routing in
peer-to-peer networks, and a closer collaboration could have a large
impact on future P2PIR research. As such, this proposed workshop
continues the efforts from an SIGIR workshop last year on the same
topic, and the primary goal is to foster the collaboration process
started there.

In addition to 6 accepted papers, the program includes two discussion
sessions in order to benefit from different views in the two research
communities. One discussion session will deal with problems and
potential solutions in evaluating large-scale peer-to-peer
networks. The topic of the second discussion session will be fixed
together with the participants.

Workshop programme:

 8:45 -  9:00:  Workshop opening

 9:00 - 10:30:  Paper Session 1: 

      Hans Friedrich Witschel, Thomas Böhme: Evaluating Profiling and
      Query Expansion Methods for P2P Information Retrieval

      Roberto Castiglion, Massimo Melucci: An Evaluation of a
      Recursive Weighing Scheme for Information Retrieval in
      Peer-to-Peer Networks

      Paul-Alexandru Chirita, Andrei Damian, Wolfgang Nejdl, Wolf
      Siberski: Search Strategies for Scientific Collaboration
      Networks

10:30 - 10:45:  Coffee break

10:45 - 12:00:  Discussion Session 1: 

      Problems and Potential Solutions in Evaluating Large-Scale
      Peer-to-Peer Networks

12:00 - 13:30:  Lunch break

13:30 - 15:00:  Paper Session 2:

      Gudrun Fischer and André Nurzenski: Towards Scatter/Gather
      Bowsing in a Hierarchical Peer-to-Peer Network

      Felix Heine, Matthias Hovestadt, Odej Kao: Processing Complex
      RDF Queries over P2P Networks

      Haizheng Zhang, Victor Lesser: A Queueing Theory Based Analysis
      Of Agent Control Mechanism in Peer-to-Peer Information Retrieval
      Systems

15:00 - 15:30:  Coffee break

15:30 - 16:30:  Discussion Session 2:

      TAlgorithmic and methodological problems

Organizers:

* Henrik Nottelmann, University of Duisburg-Essen, Germany
* Karl Aberer, EPFL Lausanne, Switzerland
* Jamie Callan, Carnegie Mellon University, USA
* Wolfgang Nejdl, University of Hannover, Germany

--

-- 
   Henrik Nottelmann           Contact:
  Information Systems	       Lotharstr. 65, 47057 Duisburg, Germany
Institute of Informatics       fon:  +49 203 379-2281, fax: -2549
 and Interactive Systems       nottelmann@...
 University of Duisburg        www.is.informatik.uni-duisburg.de/~nottelmann

Mark Sanderson | 20 Oct 2005 19:16
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Favicon

Re: Search engine evaluation

If I understand your request correctly, you want to evaluate the search engine against a set of agreed topics. If it is a search task where recall isn't all that important, then according to this paper

         http://dis.shef.ac.uk/mark/cv/publications/papers/my_papers/SIGIR2005.pdf

all you need to do is examine the top 10 returned for each topic and measure the precision at 10. You will actually get a pretty good idea of the effectiveness of the system that way.


All you need to do is At 19:41 19/10/2005, Tony Rose wrote:
Dear IR folks,

Does anyone have any practical experience of using the results of one
search engine to "validate" the results of another?

We are developing a prototype engine and want to measure its performance on
an agreed test set. We have some suitable queries, but won't be in a
position to manually generate any qrels (i.e. relevance judgements) for
quite some time. So, in the meantime, would comparing the results against
those of another engine (or engines) tell us anything valuable? Is there a
quick way to achieve a reliable set of "Gold Standard" results? Or is
waiting for the qrels the most meaningful option?

BTW I am aware of a couple of academic papers that describe how in
principle you can eliminate system pooling, but what I'm really after is
practical advice on what's doable within in a short timeframe, i.e. a
couple of days or so.

Thanks,
Tony


http://nlp.cs.nyu.edu/hlt-naacl06/


____________________________________________________________________
Mark Sanderson, Room 303               Tel: +44 (0) 114 22 22648
Department of Information Studies      Fax: +44 (0) 114 27 80300
University of Sheffield, Regent Court, mailto:m.sanderson-3Ch7lUbXYW61Qrn1Bg8BZw@public.gmane.org
Portobello St, Sheffield, S1 4DP, UK   http://dis.shef.ac.uk/mark/
____________________________________________________________________
Good judgement is from experience, experience is from bad judgement
Sandor Dominich | 20 Oct 2005 19:32
Picon

Re: Search engine evaluation

In the paper:

Dominich, S., and Skrop, A. (2005). Measuring the identification capability of
acronyms on the World Wide Web: a comparative study. Journal of Web
Engineering. vol, no. 3&4, pp: 220-215, ISSN  1540-9589

you will find a method you might find applicable to you needs.

Quoting Mark Sanderson <m.sanderson@...>:

> If I understand your request correctly, you want to evaluate the
> search engine against a set of agreed topics. If it is a search task
> where recall isn't all that important, then according to this paper
>
>
> http://dis.shef.ac.uk/mark/cv/publications/papers/my_papers/SIGIR2005.pdf
>
> all you need to do is examine the top 10 returned for each topic and
> measure the precision at 10. You will actually get a pretty good idea
> of the effectiveness of the system that way.
>
>
> All you need to do is At 19:41 19/10/2005, Tony Rose wrote:
> >Dear IR folks,
> >
> >Does anyone have any practical experience of using the results of one
> >search engine to "validate" the results of another?
> >
> >We are developing a prototype engine and want to measure its performance on
> >an agreed test set. We have some suitable queries, but won't be in a
> >position to manually generate any qrels (i.e. relevance judgements) for
> >quite some time. So, in the meantime, would comparing the results against
> >those of another engine (or engines) tell us anything valuable? Is there a
> >quick way to achieve a reliable set of "Gold Standard" results? Or is
> >waiting for the qrels the most meaningful option?
> >
> >BTW I am aware of a couple of academic papers that describe how in
> >principle you can eliminate system pooling, but what I'm really after is
> >practical advice on what's doable within in a short timeframe, i.e. a
> >couple of days or so.
> >
> >Thanks,
> >Tony
>
>
> http://nlp.cs.nyu.edu/hlt-naacl06/
>
>
> ____________________________________________________________________
> Mark Sanderson, Room 303               Tel: +44 (0) 114 22 22648
> Department of Information Studies      Fax: +44 (0) 114 27 80300
> University of Sheffield, Regent Court, mailto:m.sanderson@...
> Portobello St, Sheffield, S1 4DP, UK   http://dis.shef.ac.uk/mark/
> ____________________________________________________________________
> Good judgement is from experience, experience is from bad judgement
>

----------------------------------------------------------------
This message was sent using IMP, the Internet Messaging Program.

Fernando Diaz | 20 Oct 2005 19:36
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Re: Search engine evaluation

Along those lines and in the spirit of advertisement, you may want to check out the following paper,


F

On Oct 20, 2005, at 1:16 PM, Mark Sanderson wrote:

If I understand your request correctly, you want to evaluate the search engine against a set of agreed topics. If it is a search task where recall isn't all that important, then according to this paper

         http://dis.shef.ac.uk/mark/cv/publications/papers/my_papers/SIGIR2005.pdf

all you need to do is examine the top 10 returned for each topic and measure the precision at 10. You will actually get a pretty good idea of the effectiveness of the system that way.


All you need to do is At 19:41 19/10/2005, Tony Rose wrote:
Dear IR folks,

Does anyone have any practical experience of using the results of one
search engine to "validate" the results of another?

We are developing a prototype engine and want to measure its performance on
an agreed test set. We have some suitable queries, but won't be in a
position to manually generate any qrels (i.e. relevance judgements) for
quite some time. So, in the meantime, would comparing the results against
those of another engine (or engines) tell us anything valuable? Is there a
quick way to achieve a reliable set of "Gold Standard" results? Or is
waiting for the qrels the most meaningful option?

BTW I am aware of a couple of academic papers that describe how in
principle you can eliminate system pooling, but what I'm really after is
practical advice on what's doable within in a short timeframe, i.e. a
couple of days or so.

Thanks,
Tony


http://nlp.cs.nyu.edu/hlt-naacl06/


____________________________________________________________________
Mark Sanderson, Room 303               Tel: +44 (0) 114 22 22648
Department of Information Studies      Fax: +44 (0) 114 27 80300
University of Sheffield, Regent Court, mailto:m.sanderson-3Ch7lUbXYW61Qrn1Bg8BZw@public.gmane.org
Portobello St, Sheffield, S1 4DP, UK   http://dis.shef.ac.uk/mark/
____________________________________________________________________
Good judgement is from experience, experience is from bad judgement


Mark Sanderson | 20 Oct 2005 20:11
Picon
Favicon

Re: Search engine evaluation

This isn't advertising, it's a public service :)

But the point made by the UMass paper and the one I mentioned in my email (haven't read the Sandor one, sorry) is that test collections can be built quickly and you may have time to evaluate your system accurately in your two day time period.

At 18:36 20/10/2005, Fernando Diaz wrote:
Along those lines and in the spirit of advertisement, you may want to check out the following paper,

http://ciir.cs.umass.edu/pubfiles/ir-441.pdf

F

On Oct 20, 2005, at 1:16 PM, Mark Sanderson wrote:

If I understand your request correctly, you want to evaluate the search engine against a set of agreed topics. If it is a search task where recall isn't all that important, then according to this paper

         http://dis.shef.ac.uk/mark/cv/publications/papers/my_papers/SIGIR2005.pdf

all you need to do is examine the top 10 returned for each topic and measure the precision at 10. You will actually get a pretty good idea of the effectiveness of the system that way.


All you need to do is At 19:41 19/10/2005, Tony Rose wrote:
Dear IR folks,

Does anyone have any practical experience of using the results of one
search engine to "validate" the results of another?

We are developing a prototype engine and want to measure its performance on
an agreed test set. We have some suitable queries, but won't be in a
position to manually generate any qrels (i.e. relevance judgements) for
quite some time. So, in the meantime, would comparing the results against
those of another engine (or engines) tell us anything valuable? Is there a
quick way to achieve a reliable set of "Gold Standard" results? Or is
waiting for the qrels the most meaningful option?

BTW I am aware of a couple of academic papers that describe how in
principle you can eliminate system pooling, but what I'm really after is
practical advice on what's doable within in a short timeframe, i.e. a
couple of days or so.

Thanks,
Tony


http://nlp.cs.nyu.edu/hlt-naacl06/


____________________________________________________________________
Mark Sanderson, Room 303               Tel: +44 (0) 114 22 22648
Department of Information Studies      Fax: +44 (0) 114 27 80300
University of Sheffield, Regent Court, mailto:m.sanderson-3Ch7lUbXYW61Qrn1Bg8BZw@public.gmane.org
Portobello St, Sheffield, S1 4DP, UK   http://dis.shef.ac.uk/mark/
____________________________________________________________________
Good judgement is from experience, experience is from bad judgement


http://nlp.cs.nyu.edu/hlt-naacl06/


____________________________________________________________________
Mark Sanderson, Room 303               Tel: +44 (0) 114 22 22648
Department of Information Studies      Fax: +44 (0) 114 27 80300
University of Sheffield, Regent Court, mailto:m.sanderson-3Ch7lUbXYW61Qrn1Bg8BZw@public.gmane.org
Portobello St, Sheffield, S1 4DP, UK   http://dis.shef.ac.uk/mark/
____________________________________________________________________
Good judgement is from experience, experience is from bad judgement
Fabio Crestani | 26 Oct 2005 11:43
Picon
Picon

CFP INFOSCALE06: Submission Deadline: 15 Nov 2005 (EXTENDED)

First International Conference on Scalable Information Systems
(INFOSCALE 2006)
Co-sponsored by IEEE CS Society (pending approval)

30 May - 1 Jun 2006, Hong Kong

http://www.infoscale.org/

CALL FOR PAPERS

************************************************************
** Paper Submission Deadline Extended to 15 November 2005 **
************************************************************

As the data volumes continue to increase and the ways of information
dispersion across the globe continue to diversify, new scalable methods
and structures are needed for efficiently processing those distributed
and autonomous data. Grid computing, P2P technology, distributed
information retrieval technology, and networking technology all must be
merged to address the scalability concern. This forum focuses on this
key merged domain and looks for new integrated solutions for this
diversifying world of information.

Conference Scope:
	Parallel Information Retrieval
	Scalable Distributed Information Retrieval
	Scalable Grid Information Systems
	P2P Systems
	Scalable Mobile/Sensor DB Systems
	Index Compression Methods
	Architectures for Scalability
	Networking for Scalable Information Systems
	Scalable Information System Applications
	  (medicine, biology, military, etc.)
	Evaluation Metrics for Scalability
	VLDB
	Data Mining
	Information Security

Important Dates:
	Paper Submission Deadline: 15 Nov 2005 (EXTENDED)
	Notification: 15 Jan 2006
	Final Version Due: 15 Feb 2006

Publications: Original and previously unpublished technical papers
are solicited for presentation at the conference and publication in
the proceedings. The proceedings will be published by IEEE Press and
available online through IEEE Xplore. Selected papers will be
published in The International Journal of Grid Computing: Theory,
Methods and Applications (http://ees.elsevier.com/fgcs/).

General Chair
	Xiaohua Jia, City University of Hong Kong
	(jia@...)

PC Chairs
	Abdur Chowdhury, AOL (abdur@...)
	Francis Lau, The University of Hong Kong (fcmlau@...)
	Frank Zhigang Wang, Cambridge-Cranfield High Performance
	Computing Facilities (f.wang@...)

Steering Committee Chairs
	Imrich Chlamtac, CreateNet Research Consortium, Chair
	Ophir Frieder, Illinois Institute of Technology, Co-chair

Publicity Chair
	Jinli Cao, La Trobe University

Publications Chair
	Scott Huang, City University of Hong Kong

Workshops Chair
	Niki Pissinou, Florida International University, Chair
	Tirthankar Ghosh, Vice Chair
	Hao Zhu, Vice Chair	

Local Arrangement Chair
	Victor Lee, City University of Hong Kong

Program Committee
	Khalid Al-Begain, University of Glamorgan, Wales
	David Al-Dabass, University of Nottingham Trent, UK
	Mohand Boughanem, University Paul Sabatier, France
	Andrei Broder, IBM T. J. Watson Research Center, USA
	Wentong Cai, Nanyang Technological University, Singapore
	Jamie Callan, Carnegie Mellon University, USA
	David Carmel, IBM Research, Israel
	Jose Manuel Garcia Carrasco, University of Murcia, Spain
	Scott Cost, Johns Hopkins University Applied Physics Laboratory, USA
	Fabio Crestani, University of Strathclyde, UK
	Arjen de Vries, Centrum voor Wiskunde en Informatica, Netherlands
	David Doermann, University of Maryland, USA
	Tarek El-Ghazawi, George Washington University, USA
	Dan Feng, Huazhong University of Science and Technology, P. R. China
	Galal Hassan Galal-Edeen, Cairo University, Egypt
	Lee Giles, Pennsylvania State University, USA
	Nazli Goharian, Illinois Institute of Technology, USA
	Siegmar Gross, University of Applied Sciences, Germany
	David Grossman, Illinois Institute of Technology, USA
	David Hawking, Commonwealth Scientific and Industrial Research 
Organisation, Australia
	Andreas Henrich, University of Bamberg, Germany
	Otthein Herzog, University of Bremen, Germany
	Djoerd Hiemstra, University of Twente, Netherlands
	Jimmy Huang, York University, Canada
	George Ioannidis, University of Bremen, Germany
	Narayana Jayaram, London Metropolitan University, UK
	Guojun Jin, Lawrence Berkeley Laboratory, USA
	Joemon Jose, University of Glasgow, UK
	Paul Kantor, Rutgers University, USA
	Stefan Kirn, University of Hohenheim, Germany
	Aleksander Kolcz, AOL, USA
	Peter Komisarczuk, University of Wellington, New Zealand
	Axel Korthaus, University of Mannheim, Germany
	Donald Kraft, Louisiana State University, USA
	Mounia Lalmas, Queen Mary University of London, UK
	Minglu Li, Shanghai Jiaotong University, P. R. China
	Tao Li, University of Rochester, USA
	David Q. Liu, Purdue University, USA
	Andrew MacFarlane, City University London, UK
	James Mayfield, Johns Hopkins University, USA
	Massimo Melucci, University of Padova, Italy
	Lingkui Meng, Wuhan University, P. R. China
	Charles Nicholas, University of Maryland Baltimore County, USA
	Greg Pass, AOL, USA
	Yale Patt, University of Texas, USA
	Thomas Roelleke, Queen Mary University London, UK
	Heiner Stuckenschmidt, Vrije Universiteit Amsterdam, Netherlands
	Xian-He Sun, Illinois Institute of Technology, USA
	Ulrich Thiel, Fraunhofer Integrated Publication and information Systems 
Institute, Germany
	Ingo Timm, University of Bremen, Germany
	Anastasios Tombros, Queen Mary University London, UK
	Pavel Tvrdik, Czech Technical University, Czech Republic
	Herman Vandermulen, AOL, USA
	Zhichen Xu, Yahoo, USA
	Wai Gen Yee, Illinois Institute of Technology, USA
	Jim Yip, University of Huddersfield, UK
	Clement Yu, University of Illinois at Chicago, USA
	Zhu Zhang, University of Arizona, USA


Gmane