[UAI] IRGM'07 Workshop - Deadline extension: June, 11th, 2007. Due to some request for an extension, we are pleased to extend the paper 
submission deadline for IRGM 2007 to ** June 11, 2007 **.


                      CALL FOR PAPERS
                      SIGIR  Workshop
                        IRGM 2007

Information Retrieval and Applications of Graphical Models

              -- http://irgm.bpiwowar.net --
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MOTIVATION:

Probabilistic models constitute an important kind of Information 
Retrieval (IR) model. They have been long and widely used, and offer a 
principled way of managing the uncertainty that naturally appears in 
many elements within this field. Nowadays, the dominant approach for 
managing probability within the field of Artificial Intelligence is 
based on the use of Bayesian Networks, and these have also been used 
within IR as extensions of classical probabilistic models.

Broadly speaking, a Graphical Model (GM)  consists of a qualitative 
part, a graph,  which may be directed and acyclic in the case of 
Bayesian Networks (BN), and a quantitative one, a collection of 
numerical parameters, as the conditional probability tables for BNs or 
possibility distributions for possibilistic networks. The knowledge 
represented in the graphical component is expressed in terms of 
dependence and independence relationships between variables. These 
relationships are encoded by means of the presence or absence of links 
between nodes in the graph. The knowledge represented in the numerical 
part quantifies the dependences encoded in the graph, and allows us to 
introduce uncertainty into the model.

Therefore, these tools could be very appropriate to model and solve 
problems, as those found in the IR field.

GOAL:

As the main goal, this workshop wants to be a common space where 
researchers, in general, and young researchers specifically, can show 
their innovative GMs applications to the field of IR, in its wide 
problem space, opening a new discussion forum. Graphical Models include 
Bayesian Networks, possibilistic networks, Markov networks, dependence 
graphs,  influence diagrams,  probability trees, decision trees, and 
Fisher Kernel Discriminants, among others.

TOPICS OF INTEREST:

The scope of this workshop will be all the applications of any type of 
GMs to IR problems. Possible topics include, but are not limited to:

- Information Retrieval Models for flat or structured document 
collections (based on SGML, XML, etc.).
- Cross-language retrieval.
- Web  Information Retrieval / Applications to hypertext.
- Indexing and summarization.
- Multimedia information access, as video, audio or  image retrieval.
- Document filtering. Recommender Systems: content-based and collaborative.
- Question answering and extraction.
- Text data mining and machine learning for IR.
- Document classification and clustering  (for flat or structured 
documents).
- Any other relevant IR topic.

Theoretical or experimental research papers representing original, 
previously unpublished works, are invited to be submitted to the 
workshop, not exceeding 8 pages. Positioning papers  describing current 
research are also welcome, as well as opinion papers discussing GMs in 
an IR context. Paper should emphasize the strengths (and weaknesses) of 
the GMs to solve an IR problem, especially with respect to other 
methods. Contributions will be peer-reviewed by two experts from the 
related field belonging to the workshop PC and accepted papers will be 
included in printed proceedings.

IMPORTANT DATES:

- Deadline for paper submission: JUNE 11th 2007.
- Acceptance / rejection notification: June 19th 2007.
- Deadline for camera ready submission: July 1st 2007.
- Workshop: Amsterdam, July 27th 2007.


PROGRAM COMMITTEE:

- Peter Bruza (Queensland University of Technology, Australia).
- Eric Horvitz (Microsoft Research, USA).
- Gianni Amati (Fondazione Ugo Bordoni, Italy).
- Berthier Ribeiro-Neto (Universidade Federal de Minas Gerais, Brazil).
- Iadh Ounis (University of Glasgow, United Kingdom).
- Luis M. de Campos (Universidad de Granada, Spain).
- Didier Dubois (UniversitÃ© Paul Sabatier, France).
- PÃ¡vel Calado (Instituto Superior Tecnico, Portugal).
- Ludovic Denoyer (LIP6, University Paris 6, France).
- Yi Zhang (University of California, USA).
- Alfonso E. Romero (Universidad de Granada, Spain).
- Donald Metzler (University of Massachusetts, USA).
- Dunja Mladenic (Jozef Stefan Institute, Slovenia).

PAPER PREPARATION AND SUBMISSION:

The submissions, in PDF format, not exceeding 8 pages and following the 
ACM Conference style (see the ACM template page 
www.acm.org/sigs/pubs/proceed/template.html using the "Option 2" style), 
will be sent by e-mail to the three organisers.

WORKSHOP ORGANIZATION AND CONTACT INFORMATION:

- Benjamin Piwowarski, Yahoo! Research Latin America (bpiwowar at 
yahoo-inc.com).
- Juan M. FernÃ¡ndez-Luna, University of Granada (jmfluna at decsai.ugr.es).
- Juan F. Huete, University of Granada (jhg at decsai.ugr.es).

WORKSHOP WEBSITE:

http://irgm.bpiwowar.net




-- 

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                      Juan Manuel FernÃ¡ndez Luna
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Departamento de Ciencias de la ComputaciÃ³n e Inteligencia Artificial
                 Escuela TÃ©nica Superior de IngenierÃ­as
                   InformÃ¡tica y de TelecomunicaciÃ³n
                        Universidad de Granada
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                C/ Periodista Daniel Saucedo Aranda, s/n
                        C.P. 18071, Granada, EspaÃ±a
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		      TelÃ©fono: + 34 958 240804
		      Fax:      + 34 958 243317
	       ----------------------------------------
			drymrlk@decsai.ugr.es
    		    http://decsai.ugr.es/~jmfluna
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