Publication Date04 September 2018
Date04 September 2018
AuthorCecilia Zanni-Merk,Claudia Frydman,Anne Håkansson
SubjectLibrary & information science,Librarianship/library management,Library technology,Information behaviour & retrieval,Metadata,Information & knowledge management,Information & communications technology,Internet
Guest editorial
We are pleased to present this special issueof EmeraldsData Technologies andApplications,
called Advances in knowledge-based and intelligent engineering and information systems.
This special issue concerns the best papers of the 21st International Conference on
Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), which
was organized by the LSIS (Laboratoire des Sciences de lInformation et des Systèmes, in
Marseille, France) and held on September 6-8, 2016, at the Saint Charles campus of
Aix-Marseille University, France.
The KES 2017 international conference is a part of a series of broad-spectrum intelligent
systems conferences first held in Adelaide, Australia in 1997. The main aim of the KES
conference series is to provide an internationally respected forum for the dissemination of
research results and the discussion of issues relating to the theory, technologies and
applications of intelligent information and knowledge-based systems.
Accepted and presented papers highlight the new trends and challenges of intelligent
and knowledge-based systems. The papers in this special issue were selected because of
their quality and novelty. Each paper has been peer reviewed by at least two reviewers,
external to the KES 2017 International Program Committee.
This special issue provides a significant contribution to international research collaboration
and understanding, essential to the promotion of scientific join t work and excellence.
Cecilia Zanni-Merk
LITIS Lab and MIND Team, National Institute of Applied Sciences of Rouen Normandie,
Normandy, France
Claudia Frydman
Aix Marseille Universite, Marseille, France, and
Anne Håkansson
KTH Royal Institute of Technology, Stockholm, Sweden
Data Technologies and
Vol. 52 No. 4, 2018
pp. 462-462
© Emerald PublishingLimited
DOI 10.1108/DTA-09-2018-081

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