CIDB 2017

Computational Intelligence in Databases

Special Track for IEA/AIE 2017 Conference

Arras, France, June 27-30, 2017



With the era of Big Data, industrial/engineering/scientific applications are facing large-volume of data that could be fuzzy/uncertain/imprecise, incomplete, heterogeneous and inconsistent. Target data include regular data, sensor data, graph data, RDF data, Web services, etc.

Some of the most crucial challenges that modern-day Databases have to face are related to the massive imperfect data and to the complex and diverse nature of users' needs (which can be imprecise, partially known and ill-expressed). Thus, it is highly desirable that such Databases Systems should, on the one hand, show some advanced forms of flexibility and, on the other hand, exhibit capabilities of cooperative and intelligent behaviors.

Flexibility in such a context might be intended in several ways; among which the following ones: (i) the capability of querying large amount of data in a user-friendly way so as to retrieve the information which is the most relevant to specific user needs; (ii) the capability of managing and exploiting imprecise, partially known, uncertain data and data with some missing values.

As for cooperativeness, one might think to the ability of such systems to provide correct, non-misleading and useful answers, rather than literal answers to users' queries. Answers that, on the one hand, better serve the users' needs and expectations and, on the other hand, do not result in a tedious and time consuming task when selecting the best ones. Avoiding thus the common problem of the empty/unsatisfactory answers and that of the too many results.

This special session will provide an opportunity to exchange ideas and to discuss recent theoretical and experimental results on the two above research topics, more particularly, in the industrial and engineering domain. Hopefully, it will contribute to identifying new promising directions of research, unsolved problems in this area and some novel applications.

We invite contributions that address the following areas, but are not limited to:

  • Fuzzy Databases
  • Possibilistic / Probabilistic / Evidential Databases
  • Managing Fuzziness and Uncertainty in Recommendation System and Web Services
  • Soft computing and Fuzzy logic applied to data modelling and exploitation
  • Cooperative and intelligent query answering
  • Query relaxation/intensification
  • Explanations in Databases
  • Data Provenance/Why-not questions

Program Committee

  • Pasi Gabriella, Italy,
  • Gloria Bordogna, Italy,
  • Slawomir Zadrozny, Poland,
  • Zied Elouedi, Tunisia,
  • Djamel Belkasmi , Algeria,
  • Stephane Jean, France,
  • Djamal Benslimane, France,
  • Benbernou Salima, France,
  • Ludovic Lietard, France,
  • Ahmed Mostefaoui, France,
  • Arnaud Martin, France,
  • Anne Laurent, France,
  • Maria Rifqi, France,
  • Rokia Missaoui, Canada,
  • Olivier Corby, France,
  • Peter Dolog, Denmark,
  • Olga Pons, Spain,
  • Karima Akli, Algeria,


The same deadline as for the regular papers to be submitted to the IEA-AIE 2017 will be observed, i.e. November 23, 2017 ( However, the potential contributors are requested to send at their earliest convenience an e-mail message, addressed to, confirming the intent to submit a paper and giving its tentative title and a list of the authors.

Submitted papers must comply with the IEA-AIE 2017 guidelines for submission ( They will be reviewed at least by two PC members. The accepted papers will be published in the main conference proceedings.