The 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS2019)


Data Source Selection in Big Data Context

A special session to be held in conjunction with

The 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS2019)


2-4 December, 2019
Munich, Germany
Paper Submission: 15 September, 2019
Authors Notification: 15 October, 2019
Camera Ready and Registration: 30 0ctober, 2019


In the era of big data multiple sources providing data raises to many challenges issues. This requires advances in tools and methods for acquisition, analyzing and extracting knowledge from data sources in order to get added value. Data acquisition is a crucial part of any smart decision process. In fact, the design of a data acquisition from multi-sources in big data context should consider the numerous challenges that this paradigm implies. These include:

  1. Source reliability,
  2. Data Quality,
  3. Data security,
  4. Cost of acquisition,
  5. Truth from conflicting Sources
  6. Resolving conflicts in heterogeneous data sources
  7. Probabilistic Model for Estimating Real-valued Truth from Conflicting Sources
  8. Multi-criteria decision-making aspect of data source selection.
The aim of this session is to provide a platform for discussion about new methods on data source selection that may be successfully applied for data acquisition from multi-sources to get data value according to a knowledge data extraction process. Both theoretical and practical approaches in the area are welcome.


ALL accepted iiWAS2019 papers will be published by ACM International Conference Proceedings Series and the supplemental proceedings (ISBN: 978-1-4503-7179-7) which will be archived in the ACM Digital Library, and indexed by DBLP, Ei Compendex, Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

Selected papers of this special session will be published after extension in a special issue of the Journal of Data Intelligence (JDI).


Submitted papers will be carefully evaluated by the respective program chairs based on originality, significance, technical soundness, and clarity of exposition.


Submissions should be formatted according to ACM guidelines. Instructions and sample files are available for LaTeX and Microsoft Word at ACM.


Please refer to the paper submission page on iiWAS2019 Website for submission guidelines, paper length, templates and submit your paper through the online submission system.
In addition, please send an email to ( that you would like your paper to be considered for this special session.

For further information, please contact
Professor Brahim Ouhbi
ENSAM, Morocco