MACHINE LEARNING FOR INTELLIGENT INFORMATION ACCESS (ML4IA)


Description

As the space of electronically stored information continues to expand across computer networks, the need for intelligent access to information within multi-dimensional, partially structured and noisy spaces becomes imperative. Examples of such spaces are newswire feeds, the World Wide Web, digital libraries and enterprise-wide information repositories. There has been a growing interest in augmenting or replacing traditional information filtering and retrieval approaches with machine learning techniques in order to build systems that can scale to the intrinsic complexity of the task.

The goal of this two-day workshop is to focus on new work in the application of machine learning techniques to intelligent information access problems, such as filtering of relevant information (articles, books, electronic pages) over information streams, text topic categorization, enterprise-wide dissemination of information and electronic information markets. In particular, research topics relevant to the workshop include:

Submission Details

The workshop will consist of invited talks, presentation and discussion sessions and hands-on demonstrations. Researchers from machine learning, information retrieval, digital libraries and distributed artificial intelligence who are interested in presenting their work should send a short paper (5-8 pages) describing work in progress or completed work. Persons desiring to participate should submit position papers (up to two pages). We would like to encourage submissions of video demonstrations, and working systems that can be used for hands-on demonstration. Papers should be e-mailed in PostScript form to karakoul@cibc.ca; they must include: author's name(s), affiliation, complete mailing address, phone number, fax number and email address. The accepted papers will appear in a technical report that will be prepared in collaboration with the ACAI-99 organizing committee.

Important Dates

Organizing Committee

  • Jamie Callan, University of Massachusetts, USA (callan@cs.umass.edu)
  • Claudio Carpineto, Fondazione Ugo Bordoni, Italy (carpinet@fub.it)
  • Innes Ferguson, Active On-line Ltd., UK (innes@active-online.net)
  • Klaus Fischer, DFKI GmbH, Germany (Klaus.Fischer@dfki.de)
  • Grigoris Karakoulas, CIBC & University of Toronto, Canada (co-chair) (karakoul@cibc.ca)
  • Matthias Klusch, Technical University of Chemnitz, Germany (klusch@cs.cmu.edu)
  • Ramon Lopez de Mantaras, IIIA, Spain (mantaras@iiia.csic.es)
  • Jorg Muller, John Wiley & Sons, UK (jpm@wisdev.wiley.co.uk)
  • Giovanni Semeraro, University of Bari, Italy (co-chair) (semeraro@di.uniba.it)
  • Stuart Soltysiak, BT Labs, UK (soltysis@info.bt.co.uk)