Many topics of interest to the UAi community!

Wray Buntine
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Title: Learning in Web Search

    
    

ICML 2005 Workshop: Learning in Web Search

Sunday, August 7, 2005
Bonn, Germany

Organizers

Stephan Bloehdorn AIFB Universität Karlsruhe
Wray Buntine Helsinki Institute for Information Technology
Andreas Hotho     Universität Kassel

Workshop Description

Overview: The emerging world of search we see is one which makes increasing use of information extraction, gradually blends in semantic web technology and peer to peer systems, and uses grid computing as part of resources for information extraction and learning. This workshop explores the theory and application of machine learning in this context for the internet, intranets, the emerging semantic web, and peer to peer search. The workshop also aims to advertise and promote suitable software and data infrastructure to support the research, and community platforms, open source solutions, and grid tools for large scale experiments.

Areas: There are many exciting opportunities here both in applications for machine learning and in new fundamental research problems for the community: Some search areas we are interested in include (but are not limited to):

  • identifying named-entities, and keywords from minimal examples;
  • learning mappings between query words and document words for question answering;
  • identifying per-site boilerplate and template;
  • distributing indexes and routing queries in a peer to peer search engine;
  • optimising query ranking formula using clickthrough data;
  • the language modelling approach to web retrieval;
  • personalisation of search;
  • text summarization and results summarization or clustering;
  • information extraction from text for semantic indexing and automatic knowledge markup;
  • domain specific clustering and categorization, useful in domain specific search engines lacking good ontologies; and
  • semi-automatic support in ontology development and maintenance (ontology learning, evolution)
In addition, we have an interest in means of supporting machine learning via software platforms and tools suitable databases, content or logs (note TREC, MUC etc.). Position papers regarding the relevant application and theory of machine learning are also encouraged.

Format: The workshop will take place over the full day of Sunday, 7th August 2005. It will be open format though attendance will be limited by space. There will be invited talks by Soumen Chakrabarti, Thomas Hofmann and Andrew McCallum. The afternoon panel will be drawn from the program committee and will include speakers positions as well as audience participation. The workshop proceedings will be available on-line.

Submissions

Authors are invited to submit papers on the topics outlined above or on other related issues. Submissions should not exceed 8 pages, and should be in line with the ICML formatting guidelines on their website. Some places will be reserved for work focusing on the demonstration of systems (and electronic submission for these can be shorter). Electronic submissions, in PDF format, should be emailed to Wray Buntine at [EMAIL PROTECTED]. If email submissions are not possible, please post two copies of your submission (Helsinki Institute for Information Technology, P.O. Box 9800, FIN-02015 HUT, Finland) to arrive on the deadline. This is discouraged since authors are expected to produce PDF for the proceedings.

Timetable

  • Submission deadline: April 1, 2005
  • Notification date: April 22, 2005
  • Final date for camera-ready copies to organizers: May 13, 2005

Committee Sponsors
Paul Buitelaar German Research Center for Artificial Intelligence (DFKI)
Soumen Chakrabarti Indian Institute of Technology Bombay
Fabio Ciravegna University of Sheffield
David Cohn Google
Eric Gaussier XEROX Research Centre Europe
Siegfried Handschuh FZI, University of Karlsruhe and Ontoprise GmbH
Thomas Hofmann Brown University
Yaoyong Li University of Sheffield
Andrew McCallum University of Massachusetts Amherst
Dunja Mladenic J. Stefan Institute
Mehran Sahami Google and Stanford University
Alan Smeaton Dublin City University
Steffen Staab University Koblenz
Henry Tirri Nokia
ALVIS
KnowledgeWeb
OpenSourceSearch
PASCAL
SEKT
SmartWeb
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