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9
Sep

IFIP TC12.6 Special issue on environmental applications

Call for Papers

Journal of Information & Knowledge – Elsevier
Special Issue: Knowledge engineering and management applied to sustainability & innovation

SCOPE AND OBJECTIVES

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.

The consideration of environmental issues in product/service development can modify the whole process: objectives, outputs, resources, processes and performance indicators of a company. Sustainable design and production considering renewable materials, recycling, energy optimization and design for transition connected with economic and social objectives (implication of stakeholders, sharing knowledge, considering cultural and social aspect, etc.) are more or less considered in proactive or prescriptive way. These approaches lead to develop innovative solutions (circular economy, hybrid energy production, etc.). We can note that sustainable production and consumption join the environmental innovation logic allowing reducing material, energy and emissions impact in the whole life cycle of the product or integration sustainable business models (product service system, design for sustainable social innovation, etc). Even some criteria are integrated for sustainability but the application of these criteria still no common and not evident in industries.

A large number of works from various disciplines point out the need for managing complex and multidisciplinary knowledge related to sustainability and deep understanding of the relationships between all contributing components to sustainability study. Noting also works focus on transforming this knowledge into economic and social values and learning sustainable 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 sustainability and 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 sustainability, eco-design, 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 and management, sustainability and innovation (non exhaustive list)
· Knowledge engineering and management methods, techniques and tools
· Design, manufacturing & logistics characterization

· Eco-innovation systems, process, support and applications

· Renewable energies
· 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

· Applications, Industry 4.0, energy, transportation, etc.

· Complex systems and 4P-factory

IMPORTANT DATES

Publication: 15th September 2017

Paper Submissions: 30th November, 2017

Acceptance Notification: 30th January, 2018

Second round (if needed): 28th February, 2018

Final version due: 30th March, 2018

Editors

Nada Matta, University of Technology of Troyes (ICD/Tech-CICO), France

Eunika Mercier-Laurent, CReSTIC, University Reims Champagne Ardennes, France and IFIP

Tatiana Reyes, University of Technology of Troyes (ICD/Tech-CICO), France

Danielle Boulanger, Jean Moulin University, Lyon 3, Lyon, France

PAPER SUBMISSION

Authors are invited to submit original and unpublished research works on the above or other topics related to knowledge engineering and management for sustainability and Innovation. Submitted papers must not have been published or simultaneously submitted elsewhere.

SUBMISSION GUIDELINES
Full papers should be submitted by Email Word attachment to Nada Matta, nada.matta@utt.fr. Do not submit directly to the journal. The first page should contain the title, author(s) and contact information of the corresponding author.

Submitted papers must be original and must not be under consideration for publication elsewhere. Papers suitable for publication in the Special Issue will be double-blind reviewed, following the JIK’s review process guidelines. The editors will base their final acceptance decision on relevance for the special issue, technical quality, innovative content, and originality of research approaches and results.

All submitted manuscripts must be fully compliant with the general author guidelines.

24
Feb

IJCAI 2017

Call for Papers

5th AI4KM (Artificial Intelligence for Knowledge Management), supported by IFIP WG 12.6. Co-located with IJCAI 17, Melbourne, August 20

The first AI4KM was organized on ECAI 2012, the second on Fedcsis 2014, the third took place @IJCAI 2015 in Buenos Aires, Argentina July 27th (workshop 38) and 4th @IJCAI 16 in New York July 10th 2016.

Format: One day. Program includes invited talk, presentations, discussion, final discussion and plans for future.

Scope and Objectives

Knowledge management is a large multidisciplinary field having its roots in Management and Artificial Intelligence. AI brought the way of thinking, knowledge modelling, knowledge processing, problem solving and decision support techniques.

Knowledge is one of intangible capitals that influence the performance of organizations and their capacity to innovate. Since the beginning of the KM movement in the early nineties, companies and non-profit organizations have been experimented various approaches, often without using AI. On the contrary, the new generation of KM applications are implementing multi agent systems, hybrid simulations, meta-heuristic quantifiers, fuzzy logics, Bayesian networks, meta heuristic algorithms, unsupervised learning, case based or model based scheduling, cognitive modelling, graphical models, automated reasoning and solutions under uncertainty.

The objective of this multidisciplinary session is to gather both researchers and practitioners to discuss methodological, technical and organizational aspects of AI used for knowledge management and to share the feedback on KM applications using AI. Knowledge management models used in Business Intelligence,  expert systems as management advisors, virtual training for knowledge sharing, all applications of machine learning to support innovation and eco-innovation, knowledge visualization for improving the creativity and human-machine interfaces, image mining making links between data and images ex bio-detection are good examples of multidisciplinary applications.

Researches and practitioners are invited to submit their recent advances in methodologies, models and tools for managing knowledge in organizations and to discuss experiences in knowledge management and innovation.  Let it be the development of non-convex, nonlinear problem solutions or a painting game played to find out gaps in global security used for knowledge management.

The conference topics include (but are not limited to):

conceptual modelling, reasoning methods, knowledge capitalization, knowledge discovery in data and multimedia documents, effective information and knowledge search, decision support systems, problem solving, optimisation of human capital and other resources, managing of best practice, risk management, simulation, learning systems including serious games, human-machine interfaces, Knowledge in social networks, distributed knowledge, Knowledge Management for design, creativity enhancing systems, support of innovation and eco-innovation process innovation and eco-innovation process, intelligent assistant of knowledge cultivators. The applications to innovation and eco-activities, AI applications supporting sustainable development are very welcome.

This conference form will be:

  • Presentations of peer-reviewed papers (standard IJCAI format), including discussions
  • Final discussion on needs and challenges

Paper Submission and Publication

  • Authors should submit abstracts or draft papers (as Postscript, PDF of MSWord file) on easychair or send to eunika@innovation3d.fr
  • Accepted and presented papers will be published in IJCAI proceedings
  • Extended versions of selected papers presented during the conference will be published as Springer Special IFIP Issue

Important Dates

  • Paper submission deadline: March 30, 2017
  • Notification of acceptance: April 30, 2017
  • Camera-ready version deadline: May 30, 2015
  • Conference August 19-25, 2017 (exact day will be communicated after acceptation)

Organizing Committee:

Eunika Mercier-Laurent email: eunika.mercier-laurent@univ-lyon3.fr

Dickson Lukose dlukose@gcsagile.com.au

Mieczyslaw L. Owoc email: mieczyslaw.owoc@ue.wroc.pl

Members of program committee:

Danielle Boulanger, Lyon3 University, France

Celso Juan Flores (Crealibre, Mexico)

Knut Hinkelmann (Univ of Applied Sciences, Switzerland)

Gulgun Kayakutlu (Istanbul University of Technology, Turkey)

Nada Matta (ITT, France),

Helena Lindskog (Univ of Linkoping, Sweden)

Daniel O’Leary (USC Marshall SB, USA)

Otthein Herzog (TZI – Universitaet Bremen, Germany)

Vincent Ribiere, (IKI, Thailand)

Abdul Sattar (Griffith University, Australia)

Michael Stankosky, George Washington University, USA

Frederique Second (Viseo, France)

Guillermo R. Simari (Universidad Nacional del Sur, Argentina)

Eric Tsui (Politechnic University HK)

Janusz Wojtusiak (George Mason University, Fairfax, USA)

20
Feb

Second AI4KM book is now avaiable!

For more click here:

http://link.springer.com/book/10.1007/978-3-319-28868-0

20
Feb

Call for papers

The 4th edition of AI4KM (Artificial Intelligence for Knowledge Management) will take place @IJCAI 2016 http://ijcai-16.org

Accepted workshops: http://ijcai-16.org/index.php/welcome/view/accepted_workshops

 

Scope and Objectives

Knowledge management is a large multidisciplinary field having its roots in Management and Artificial Intelligence. AI brought the way of thinking, knowledge modelling, knowledge processing, problem solving and decision support techniques.

Knowledge is one of intangible capitals that influence the performance of organizations and their capacity to innovate. Since the beginning of the KM movement in the early nineties, companies and non-profit organizations have been experimenting various approaches, often without using AI. On the contrary, the new generation of KM applications are implementing multi agent systems, hybrid simulations, meta-heuristic quantifiers, fuzzy logics, Bayesian networks, meta heuristic algorithms, unsupervised learning, case based or model based scheduling, cognitive modelling, graphical models, automated reasoning and solutions under uncertainty.

The objective of this multidisciplinary session is to gather both researchers and practitioners to discuss methodological, technical and organizational aspects of AI used for knowledge management and to share the feedback on KM applications using AI. Knowledge management models used in Business Intelligence,  expert systems as management advisors, virtual training for knowledge sharing, all applications of machine learning to support innovation and eco-innovation, knowledge visualization for improving the creativity and human-machine interfaces, image mining making links between data and images ex bio-detection are good examples of multidisciplinary applications.

Researches and practitioners are invited to submit their recent advances in methodologies, models and tools for managing knowledge in organizations and to discuss experiences in knowledge management and innovation.  Let it be the development of non-convex, nonlinear problem solutions or a painting game played to find out gaps in global security  used for knowledge management.

The conference topics include (but are not limited to):

conceptual modelling, reasoning methods, knowledge capitalization, knowledge discovery in data and multimedia documents, effective information and knowledge search, decision support systems, problem solving, optimisation of human capital and other resources, managing of best practice, risk management, simulation, learning systems including serious games, human-machine interfaces, Knowledge in social networks, distributed knowledge, Knowledge Management for design, creativity enhancing systems, support of innovation and eco-innovation process innovation and eco-innovation process, intelligent assistant of knowledge cultivators. The applications to innovation and eco-activities, AI applications supporting sustainable development are very welcome.

This workshop form will be:

  • Presentations of peer-reviewed papers (standard workshop format), including discussions
  • Final discussion on needs and challenges

Paper Submission and Publication

  • Authors are invited to submit full papers (PDF) on easychair or send to eunika@innovation3d.fr
  • Accepted and presented papers will be published in IJCAI proceedings
  • Extended versions of selected papers presented during the conference will be published as Springer IFIP AICT Series

Important Dates

  • Paper Submission: April 18th, 2016
  • Author Notification: May 16, 2016
  • Final version sublission: May 23th, 2016 (Strict!)
  • 4th AI4KM on IJCAI (July tbd, 2016)

Organizing Committee:

Eunika Mercier-Laurent email: eunika.mercier-laurent@univ-lyon3.fr

Mieczyslaw L. Owoc email: mieczyslaw.owoc@ue.wroc.pl

Gulgun Kayakutlu email: kayakutlu@itu.edu.tr

Members of program committee:

Danielle Boulanger, Lyon3 University, France

Anne Dourgnon-Hanoune (EDF DER, France)

Celso Juan Flores (Crealibre, Mx)

Knut Hinkelmann (Univ of Applied Scences, Switzerland)

Gulgun Kayakutlu (ITU, Istanbul),

Helena Lindskog (Univ of Linkoping, Sweden)

Daniel O’Leary (USC Marshall SB)

Vincent Ribiere, IKI, Thailand)

Frederique Second (Viseo, France)

Eric Tsui (Politechnic University HK)

Guillermo R. Simari (Universidad Nacional del Sur, Argentina)

Jean-Guy Meunier ( Université du Québec, Montréal, Canada)

Adriana Schiopoiu Burlea (University of Craiova, Romania)