INEX 2006 - Call for participation
http://inex.is.informatik.uni-duisburg.de/2006/index.htmlContent-oriented XML retrieval has been receiving increasing interest
fuelled by the widespread use of the eXtensible Markup Language (XML),
as a standard document format. The continuous growth in XML data sources
is matched by increasing efforts in the development of XML retrieval
systems, which aim at exploiting the available structural information in
documents to implement a more focused retrieval strategy and return
document components, the so-called XML elements - instead of complete
documents - in response to a user query. Implementing this, more
focused, retrieval paradigm means that an XML retrieval system needs not
only to find relevant information in the XML documents, but also
determine the appropriate level of granularity to be returned to the
user. In addition, the relevance of a retrieved component is dependent
on meeting both content and structural conditions.
Evaluating the effectiveness of XML retrieval systems, hence, requires a
test collection where the relevance assessments are provided according
to a relevance criterion, which takes into account the imposed
structural aspects. In 2002, the Initiative for the Evaluation of XML
Retrieval (INEX) started to address these issues. The aim of the INEX
initiative is to establish an infrastructure and provide means, in the
form of a large XML test collection and appropriate scoring methods, for
the evaluation of content-oriented XML retrieval systems.
Evaluating retrieval effectiveness is typically done by using test
collections assembled specifically for evaluating particular retrieval
tasks. A test collection as such has been built as a result of four
rounds of INEX (2002 to 2005).
In INEX 2006, participating organisations will be able to compare the
retrieval effectiveness of their XML retrieval systems and will
contribute to the construction of a new XML test collection based on
Wikipedia. The test collection will also provide participants a means
for future comparative and quantitative experiments.
Tasks and tracks
In addition to the main general ad-hoc retrieval task, INEX 2006 will
have the following two specific tasks:
1. Relevance feedback task
2. Natural query language task
INEX 2006 will continue with the following four tracks that started in
previous years:
1. Heterogeneous collection track
2. Interactive track
3. Document mining track
4. Multimedia track
Two additional tracks are planned for INEX 2006:
1. Use case studies track
2. XML Entity Search track
Relevance assessments
Relevance assessments will be provided by the participating groups using
INEX's on-line assessment system. Each participating organisation will
judge around 2 topics. Please note that assessments take about
one-person week per topic! Participating groups will gain access to the
completed INEX test collection only after they have completed their
assessment task. Upon completion of the relevance assessments,
participants new to INEX can have access to the previous years test
collections.
Workshop and proceedings
Participants will be able to present their approaches and final results
at the INEX 2006 workshop to be held in December in Dagstuhl. Revised
papers will be published in the INEX post-workshop final proceedings. As
for INEX 2004 and 2005, we expect the INEX final proceedings to be
published in the Springer's Lecture Notes in Computer Science (LNCS)
series.
Organisers
Project Leaders
Norbert Fuhr
Mounia Lalmas
Contact persons
Saadia Malik
Zoltán Szlávik
Wikipedia document collection and exploration
Ludovic Denoyer
Martin Theobald
Use case studies
Andrew Trotman
Nils Pharo
Topic format specification
Andrew Trotman
Birger Larsen
Task description
Jaap Kamps
Charlie Clarkes
Online relevance assessment tool
Benjamin Piwowarski
Metrics
Gabriella Kazai
Stephen Robertson
Paul Ogilvie
Relevance feedback task
Yosi Mass
Ralf Schenkel
Natural query language task
Shlomo Geva
Xavier Tannier
Heterogeneous collection track
Ingo Frommholz
Ray Larson
Interactive track
Birger Larsen
Anastasios Tombros
Saadia Malik
Document mining track
Ludovic Denoyer
Anne-Marie Vercoustre
Patrick Gallinari
XML multimedia track
Roelof van Zwol
Thijs Westerveld
XML entity search track
Arjen de Vries
Nick Craswell
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Regards,
Sukomal Pal
Research Fellow,
Information Retrieval Lab,
CVPR Unit,
Indian Statistical Institute,
203, B.T.Road, Kolkata- 700 108.
Residence :
Research Scholar Hostel
Phone : 0091-94331 70664(m)
0091-33-2575 2858(Lab)
Alternate email-id :
sukomal_pal@...