Objective

The Symposium on Information Management and Big Data (SIMBig) seeks to present the new methods of data science an related fields for analyzing and managing large volumes of data.

SIMBig is one of the first conferences grouping related areas such as Data Science, Big Data, NLP and Semantic Web, etc, in Latin America.


  • Big Data   -   Data Science

    Big Data is a popular term used to describe the exponential growth of data, which could be structured and unstructured. Data Science is a field seeking to extract knowledge or insights from this data (e.g. video, audio, text, image).

  • Topics

    Topics of interest of SIMBig include:

    • Big Data,
    • Data Science,
    • Data Mining,
    • Natural Language Processing,
    • Semantic Web,
    • Artificial Intelligence,
    • Multilingual Text Processing,
    • Biomedical NLP, etc.
    • image description
  • Past Keynotes
    • Regina Barzilay - 2017
    • Jiawei Han - 2017
    • Mark A. Musen - 2017
    • Ravi Kumar - 2017
    • Clement Jonquet - 2017
    • Albert Bifet - 2016
    • Fabio Crestani - 2016
    • Kevin Bretonnel Cohen - 2016
    • Maguelonne Teisseire - 2016
    • Diana Inkpen - 2015
    • Pascal Poncelet - 2015
    • Osmar Zaïane - 2015
    • Mathieu Roche - 2015
    • Hakim Hacid - 2014
    • Mathieu d'Aquin - 2014

EDITIONS.

Our successful past editions

PUBLICATIONS.

Procceding DBLP CEUR Spring
Selected Papers of SIMBig 2017
Proceedings of the 3rd Annual International Symposium on Information Management and Big Data - SIMBig 2016
Selected Papers of SIMBig 2016 and SIMBig 2015
Proceedings of the 1st Symposium on Information Management and Big Data - SIMBig 2014

CONTACT.

Co - Founders SIMBig