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الترتيب: Australasian B (CORE2023)Offline

Australasian Document Computing Symposium

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The Australasian Document Computing Symposium (ADCS) is an annual conference held in Australia or New Zealand since 1996. It provides a forum for researchers and practitioners in document management and information retrieval to meet and present their work, covering all aspects of Document Computing and Information Retrieval. The symposium emphasizes both commercial and academic issues by encouraging a variety of submissions.

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Call for Papers

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About the Australasian Document Computing Symposium (ADCS)

The Australasian Document Computing Symposium (ADCS) is an annual conference held in Australia or New Zealand since 1996.

ADCS is an opportunity for researchers and practitioners in document management and information retrieval to meet and present their work. The symposium aims to cover all aspects of Document Computing and Information Retrieval. The symposium emphasises both commercial and academic issues by encouraging a variety of submissions.

Topics of Interest

While specific topics for the next ADCS are not listed, the general areas of interest include:

  • Document Management
  • Information Retrieval
  • All aspects of Document Computing

Important Dates

No specific dates were mentioned in given content.

Submission Guidelines

No specific submission guildlines were mentioned in given content.

Steering Committee (as of December 2020)

  • Tina Du, Charles Sturt University (2022).
  • Mehwish Nasim, University of Western Australia (2022).
  • Maciek Rybinski, CSIRO/Data61 (2022).
  • Joel Mackenzie, University of Queensland (2021).
  • Damiano Spina, RMIT University (2020).
  • Gianluca Demartini, University of Queensland (2019).
  • Andrew Trotman, University of Otago (2018).
  • Bevan Koopman, CSIRO (2018).
  • Paul Thomas, Microsoft (2018).
  • Mark Carman, Monash University (2017).
  • Guido Zuccon, Queensland University of Technology(2017).

History

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المصدر: CORE2023

الترتيب: Australasian B

مجال البحث: Data management and data science

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