Antonio De Nicola
2018-12-03 18:02:38 UTC
- - - -
[Deadline extension] ISCRAM 2019 (TRACK: Knowledge, Semantics and AI for RISK and CRISIS management) Call for Papers
- - - -
16th International Conference on INFORMATION SYSTEMS FOR CRISIS RESPONSE AND MANAGEMENT (ISCRAM 2019)
May 19th-22nd, 2019 - Valencia, Spain
https://iscram2019.webs.upv.es/
- - - -
INTRODUCTION TO THE TRACK
Experience and volume of data are generated and used in risk and crisis management. Structuring this amount of data and learning from them are still big challenges to be faced to help actors either in decision-making or in operations. Otherwise, several techniques have been developed in the last century in Artificial Intelligence (AI) study and Computer Supported Cooperative Work (CSCW) that can be applied to face this challenge. The combination of these tools and methods continue to show promising results in improving sharing of information in crisis and emergency contexts.
There exist many approaches of Artificial Intelligence such as, decision trees, fuzzy logic and neural networks. Machine learning, in particular, is an approach that gives “computers the ability to learn without being explicitly programmed” by learning and making predictions from data. Also, the use of AI and ontologies as a knowledge representation mechanism offers many advantages in information retrieval and analysis. In addition, semantic models of knowledge allow users as well as systems to clearly understand what is happening in a crisis situation and can provide support to decision makers.
This track mainly addresses the application of semantic models and Artificial intelligence methods and tools trying to answer to users' needs in the scope of risk and crisis management.
We welcome papers on topics including, but not limited to, the following:
- Analysis, prediction, planning, preparation, and response in crisis and emergency scenarios
- Big data analytics and management in crisis management
- Communication and discussions analysis
- Communication infrastructures, technologies and services for crisis management
- Coordination, collaboration and decision support technologies and systems for crisis management
- Cooperative decision-making
- Crisis and emergency knowledge engineering
- Decision making under uncertainty
- Evacuation and rescue geo-planning
- Geo-Information technologies for crisis management
- Humanitarian logistics
- Interoperability in crisis management
- Knowledge map and visualization
- Knowledge graph
- Machine learning and deep learning applications for crisis management
- Meta-models for crisis
- Modeling and simulation tools for crisis and disaster situations
- Multi-agent systems for emergency simulation
- Ontologies for crisis and/or risk management
- Participatory activities in crisis management
- Prediction and early warning systems
- Process mining
- Reasoning with uncertainty in crisis management
- Resilience engineering
- Risk, damage and loss assessment
- Rule and case based reasoning
- Querying and filtering on heterogeneous, multi-source streaming disaster data
- Semantic web
- Social semantic web
- Situation awareness
- Smart cities resilience
- Social media for crisis management and participatory activities
- Text mining
- Application of AI and semantic technologies in the following sectors: disaster management, terrorism, natural hazards, chemical hazards, public safety, smart cities resilience, etc.
ISCRAM2019 invites two categories of papers:
CoRe: Completed Research (from 4000 to 8000 words). Submission open until December 8th, 2018. Go to the Conftool ISCRAM 2019 space (https://www.conftool.pro/iscram2019/index.php) to make your submission.
WiPe: Work In Progress (form 3000 to 6000 words). Submission currently closed. It will open in January 2019.
Please use the ISCRAM paper template (https://iscram2019.webs.upv.es/wp-content/uploads/2018/10/ISCRAM2019_Conference_WiPeORCorePaperTemplate_v2.doc) for the preparation of your submission.
All articles will be evaluated according to the following process: once submitted to a specific track, articles will be distributed among the pool of reviewers according to their domain of expertise and the topics addressed by the article according to the ISCRAM submission framework. The selected papers will be organized in sessions, distributed among the tracks.
The proceedings will be published in the ISCRAM Digital Library (http://idl.iscram.org) as in the previous years. They will be indexed by DBLP, SCOPUS, and Compendex.
Important dates
3) Call for Completed Research (CoRe) papers:
- Issued: September 10, 2018
- New submission deadline: December 8, 2018
- Decision notification: January 7, 2019
4) Call for short (WiPe) papers:
- Issued: January 8, 2019
- Submission deadline: February 8, 2019
- Decision notification: March 8, 2019
Track Chairs:
Hedi Karray (INP-ENIT, University of Toulouse, FR)
Antonio De Nicola (ENEA, IT)
Nada Matta (Université de Technologie de Troyes, FR)
Track Program Committee (To be confirmed):
Jean-Paul Barthes, UTC - Compiègne, France
Frederik Benaben, Mines Albi, France
Aurelien Benel, University of Technology of Troyes, France
Ansgar Bernardi, German Research Center for Artificial Intelligence, Germany
Frada Burstein, Monash University, Australia
Jessica Chen-Burger, University of Edinburgh, UK
Jean Pierre Cahier, University of Technology of Troyes, France
Samuel K.W. Chu, University of Hong Kong, China
Alex Coletti, Booz Hallen Hamilton, USA
Claudia Diamantini, Università Politecnica delle Marche
John S. Edwards, Aston University, UK
Faiez Gargouri, ISIM Institute, Tunisia
Michel Grundstein, University of Paris Dauphine, France
Rafik Hedfi, Monash University, Australia
Dimitris Karagiannis, University of Vienna, Austria
Gilles Kassel, University of Picardie Jules Verne, France
Narjes Lamine, Univeristy of Manouba, Tunisia
Thierry Louge, University of Toulouse, France
Michele Melchiori, University of Brescia, Italy
Mohammad Ali Memon, Sind University, Pakistan
Eunika Mercier Laurent, IAE University - Lyon, France
Nejib Moalla, Univeristy of Lyon 2,
Joao Luiz Rebelo Moreira, University of Twente, The Netherlands
Jean-Louis Mutte, Amiens School of Management, France
Susu Nousala, The Royal Melbourne Institute of Technology, Australia
Daniel O'Leary, University of Southern California, USA
Maeve O'Loughlin, Middlesex University, UK
Riccardo Patriarca, Sapienza University, Italy
Nicolas Prat, ESSEC Business School, France
Camille Rosenthal-Sabroux, University of Paris Dauphine, France
Ines Saad, University of Picardie Jules Verne, France
David G. Schwartz, Bar-Ilan University, Israel
Carla Simone, University of Milano Bicocca, Italy
Francesco Taglino, Consiglio Nazionale delle Ricerche, Italy
Marianthi Theocharidou, Joint Research Centre, Italy
Hilda Tellioglu, Vienna University of Technology, Austria
Eric Tsui, The Hong Kong Polytechnic University, China
Thierry Vidal, INP-ENIT, France
Maria Luisa Villani, ENEA, Italy
Takahira Yamaguchi, Keio University, Japan
Jingquan Xie, DeepChain GmbH, Germany
_______________________________________________
Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld
[Deadline extension] ISCRAM 2019 (TRACK: Knowledge, Semantics and AI for RISK and CRISIS management) Call for Papers
- - - -
16th International Conference on INFORMATION SYSTEMS FOR CRISIS RESPONSE AND MANAGEMENT (ISCRAM 2019)
May 19th-22nd, 2019 - Valencia, Spain
https://iscram2019.webs.upv.es/
- - - -
INTRODUCTION TO THE TRACK
Experience and volume of data are generated and used in risk and crisis management. Structuring this amount of data and learning from them are still big challenges to be faced to help actors either in decision-making or in operations. Otherwise, several techniques have been developed in the last century in Artificial Intelligence (AI) study and Computer Supported Cooperative Work (CSCW) that can be applied to face this challenge. The combination of these tools and methods continue to show promising results in improving sharing of information in crisis and emergency contexts.
There exist many approaches of Artificial Intelligence such as, decision trees, fuzzy logic and neural networks. Machine learning, in particular, is an approach that gives “computers the ability to learn without being explicitly programmed” by learning and making predictions from data. Also, the use of AI and ontologies as a knowledge representation mechanism offers many advantages in information retrieval and analysis. In addition, semantic models of knowledge allow users as well as systems to clearly understand what is happening in a crisis situation and can provide support to decision makers.
This track mainly addresses the application of semantic models and Artificial intelligence methods and tools trying to answer to users' needs in the scope of risk and crisis management.
We welcome papers on topics including, but not limited to, the following:
- Analysis, prediction, planning, preparation, and response in crisis and emergency scenarios
- Big data analytics and management in crisis management
- Communication and discussions analysis
- Communication infrastructures, technologies and services for crisis management
- Coordination, collaboration and decision support technologies and systems for crisis management
- Cooperative decision-making
- Crisis and emergency knowledge engineering
- Decision making under uncertainty
- Evacuation and rescue geo-planning
- Geo-Information technologies for crisis management
- Humanitarian logistics
- Interoperability in crisis management
- Knowledge map and visualization
- Knowledge graph
- Machine learning and deep learning applications for crisis management
- Meta-models for crisis
- Modeling and simulation tools for crisis and disaster situations
- Multi-agent systems for emergency simulation
- Ontologies for crisis and/or risk management
- Participatory activities in crisis management
- Prediction and early warning systems
- Process mining
- Reasoning with uncertainty in crisis management
- Resilience engineering
- Risk, damage and loss assessment
- Rule and case based reasoning
- Querying and filtering on heterogeneous, multi-source streaming disaster data
- Semantic web
- Social semantic web
- Situation awareness
- Smart cities resilience
- Social media for crisis management and participatory activities
- Text mining
- Application of AI and semantic technologies in the following sectors: disaster management, terrorism, natural hazards, chemical hazards, public safety, smart cities resilience, etc.
ISCRAM2019 invites two categories of papers:
CoRe: Completed Research (from 4000 to 8000 words). Submission open until December 8th, 2018. Go to the Conftool ISCRAM 2019 space (https://www.conftool.pro/iscram2019/index.php) to make your submission.
WiPe: Work In Progress (form 3000 to 6000 words). Submission currently closed. It will open in January 2019.
Please use the ISCRAM paper template (https://iscram2019.webs.upv.es/wp-content/uploads/2018/10/ISCRAM2019_Conference_WiPeORCorePaperTemplate_v2.doc) for the preparation of your submission.
All articles will be evaluated according to the following process: once submitted to a specific track, articles will be distributed among the pool of reviewers according to their domain of expertise and the topics addressed by the article according to the ISCRAM submission framework. The selected papers will be organized in sessions, distributed among the tracks.
The proceedings will be published in the ISCRAM Digital Library (http://idl.iscram.org) as in the previous years. They will be indexed by DBLP, SCOPUS, and Compendex.
Important dates
3) Call for Completed Research (CoRe) papers:
- Issued: September 10, 2018
- New submission deadline: December 8, 2018
- Decision notification: January 7, 2019
4) Call for short (WiPe) papers:
- Issued: January 8, 2019
- Submission deadline: February 8, 2019
- Decision notification: March 8, 2019
Track Chairs:
Hedi Karray (INP-ENIT, University of Toulouse, FR)
Antonio De Nicola (ENEA, IT)
Nada Matta (Université de Technologie de Troyes, FR)
Track Program Committee (To be confirmed):
Jean-Paul Barthes, UTC - Compiègne, France
Frederik Benaben, Mines Albi, France
Aurelien Benel, University of Technology of Troyes, France
Ansgar Bernardi, German Research Center for Artificial Intelligence, Germany
Frada Burstein, Monash University, Australia
Jessica Chen-Burger, University of Edinburgh, UK
Jean Pierre Cahier, University of Technology of Troyes, France
Samuel K.W. Chu, University of Hong Kong, China
Alex Coletti, Booz Hallen Hamilton, USA
Claudia Diamantini, Università Politecnica delle Marche
John S. Edwards, Aston University, UK
Faiez Gargouri, ISIM Institute, Tunisia
Michel Grundstein, University of Paris Dauphine, France
Rafik Hedfi, Monash University, Australia
Dimitris Karagiannis, University of Vienna, Austria
Gilles Kassel, University of Picardie Jules Verne, France
Narjes Lamine, Univeristy of Manouba, Tunisia
Thierry Louge, University of Toulouse, France
Michele Melchiori, University of Brescia, Italy
Mohammad Ali Memon, Sind University, Pakistan
Eunika Mercier Laurent, IAE University - Lyon, France
Nejib Moalla, Univeristy of Lyon 2,
Joao Luiz Rebelo Moreira, University of Twente, The Netherlands
Jean-Louis Mutte, Amiens School of Management, France
Susu Nousala, The Royal Melbourne Institute of Technology, Australia
Daniel O'Leary, University of Southern California, USA
Maeve O'Loughlin, Middlesex University, UK
Riccardo Patriarca, Sapienza University, Italy
Nicolas Prat, ESSEC Business School, France
Camille Rosenthal-Sabroux, University of Paris Dauphine, France
Ines Saad, University of Picardie Jules Verne, France
David G. Schwartz, Bar-Ilan University, Israel
Carla Simone, University of Milano Bicocca, Italy
Francesco Taglino, Consiglio Nazionale delle Ricerche, Italy
Marianthi Theocharidou, Joint Research Centre, Italy
Hilda Tellioglu, Vienna University of Technology, Austria
Eric Tsui, The Hong Kong Polytechnic University, China
Thierry Vidal, INP-ENIT, France
Maria Luisa Villani, ENEA, Italy
Takahira Yamaguchi, Keio University, Japan
Jingquan Xie, DeepChain GmbH, Germany
_______________________________________________
Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld