Special Issue on Knowledge engineering and management applied to innovation

AIEDAM Special Issue, Volume 33, Number 2, Spring 2019

Guest Editors: Nada Matta, Eunika Mercier-Laurent, Tatiana Reyes, Danielle Boulanger

Innovation needs knowledge to succeed and generates various impacts including environmental. Many research works have been done in separate disciplines, such as design and eco-design, manufacturing, logistics, ecology, economy, artificial intelligence, knowledge management, complex systems and some others.

A large number of works from various disciplines point out the need for managing complex and multidisciplinary knowledge related to Knowledge management and deep understanding of the relationships between all contributing components to innovation study. Noting also works focus on transforming this knowledge into economic and social values and learning new behaviors and culture. Knowledge engineering and management approaches and techniques have been successfully applied for design, manufacturing, medicine, crisis management and many others. The complexity of these domain guides the definition of new paradigms to structure and use knowledge especially on innovation. Several knowledge management methods have been proposed and applied to enhance organizational innovation, which is consider as a most important process in companies.

The objective of this Special Issue is to gather contributions from both researchers and practitioners to discuss methodological, technical and organizational aspects, feedback from application of knowledge engineering and management techniques to successful innovation. Researchers and practitioners are invited to propose recent advances in methodologies, models and tools for managing knowledge in organizations and to discuss experiences. Papers are welcomed in any research area concerning knowledge engineering and management, innovation, artificial intelligence, information systems, and the knowledge economy. Target applications of this research and real world practice case studies include the following: industry, medicine, biology, design, manufacturing, logistics, education, telecommunications, automotive, aeronautics and space, tourism, social, etc.

Topics covered: Knowledge engineering, management and innovation (non exhaustive list)

  • Knowledge engineering and management methods, techniques and tools
  • Eco-innovation systems, process, support and applications
  • Collective and Collaborative Intelligence
  • Knowledge modeling and visualization methods and tools
  • Collection and processing of Best Practices
  • Knowledge Authoring & Knowledge Markup
  • Web2.0 and the Semantic Web
  • Provenance, Reliability and Trust
  • Consistency, Coherence and validation of multiple knowledge sources
  • Information and knowledge sharing systems and applications
  • Learning systems: education and Training systems
  • Creativity enhancing systems
  • Decision making support systems and tools
  • Economic factors and characterization
  • Human factors and social computing
  • Knowledge discovery: Datamining, Textmining, ImageMining, Deep learning
  • IoT and mobile applications
  • Intelligent Platforms for e-services and e-business

All submissions will be anonymously reviewed by at least three reviewers. The selection for publication would be made on the basis of these reviews.

Information about the format and style required for AIEDAM papers, as well as about submission, can be found at: https://www.cambridge.org/core/journals/ai-edam/information/instructions-contributors

Note that all queries and information about submissions for special issues should be addressed to the Guest Editors, and not to the Editor in Chief. Please submit your paper through the ScholarOne system online at: http://mc.manuscriptcentral.com/aie You need to create a user account first if you are a new user. During your submission process, pay attention to the following two steps:

  • On Step 1 (Type, title & abstract): Select "Yes" for the "Special Issue" question.
  • On Step 5 (Details & comments): Select "Knowledge engineering and management - Vol.33/2" for "Special Issue Name".
Important dates:
Intend to submit (Title & Abstract):As soon as possible
Submission deadline for full papers:30 May 2018
Reviews due:01 August 2018
Notification & reviews due to authors:30 August 2018
Revised version submission deadline:31 October 2018
Second round of reviews due:15 January 2018
Final version due:15 February 2019
Issue Appears:April 2019
Guest editors:
Prof Nada MattaProf Eunika Mercier-LaurentProf Tatiana ReyesProf Danielle Boulanger
ICD/Tech-CICOCReSTICICD/Tech-CICOJean Moulin University
UTT, FranceURCA, FranceUTT, FranceLyon3, France
Email: nada.matta@utt.frEmail:eunika@innovation3d.frEmail: tatiana.reyes_carrillo@utt.frEmail:danielle.boulanger@univ-lyon3.fr