Call for Papers

Cognitive-based Data Sensing in the Big Data Era
Special Issue of International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
Guest Editors: Zheng Xu, Yunhuai Liu, Haizhong An, and Hui Zhang


With the advances of information communication technologies, it is critical to improve the efficiency and accuracy of emergency management systems through modern data processing techniques. The past decade has witnessed the tremendous technical advances in Sensor Networks, Internet/Web of Things, Cloud Computing, Mobile/Embedded Computing, Spatial/Temporal Data Processing, and Big Data, and these technologies have provided new opportunities and solutions to emergency management. Data processing/analysis in emergency management is a typical big data scenario. Numerous sensors and monitoring devices continuously sample the states of the physical world, while the web data processing techniques make the Internet a big data repository which can reflect the states of the cyber world and the human world. The efficient processing of these data imposes a challenge to the data management community. It is important to develop advanced data management and data processing mechanisms to support disaster detection, disaster response and control, rescue resource planning and scheduling, and emergency commanding.

The purpose of this special issue is to provide a forum for researchers and practitioners to exchange ideas and progresses in the related areas. This special issue addresses the challenges of emergency management based on advanced big data management technologies. This special issue will bring together researchers and practitioners in big data management, cloud computing, parallel algorithms, internet of things, spatial database, complex event detection, optimization theory, intelligent transportation systems and social networks to support disaster detection, response and rescue. The special issue welcomes papers that address fundamental research issues in this challenging area, with emphasis on personal and social applications of big data management and emergency management. We also encourage papers to report on system level research related to cloud computing, disaster detection, response and rescue. A number of invited papers will also be solicited.

Topics of interest include, but are not limited to:
Agent-based modeling for Data Sensing
Cloud computing in Data Sensing
Data mining application in Data Sensing
Decision support for Data Sensing
Event detection techniques in Data Sensing
Opinion mining and sentiment analysis for Data Sensing
Prediction and decision in Data Sensing
Rescue resource management in Data Sensing
Resource planning and scheduling
Statistical analysis on massive data for emergency management
spatial temporal data analytics in emergency management
Web data analysis in Data Sensing
Web data processing in Data Sensing Web of things in Data Sensing

Submission:
IJCINI is EI indexed and the website of IJCINI: http://www.igi-global.com/journal/international-journal-cognitive-informatics-natural/1095. Each paper for submission should be formatted in double spacing, single column of no more than 20 pages in length. A separate cover letter should be submitted that includes the paper title, the list of all authors and their affiliations, and information of the contact author. Each paper will be reviewed rigorously, and possibly in two rounds, i.e., minor/major revisions will undergo another round of review. Prospective authors are invited to submit papers in PDF format via email to Dr. Zheng Xu through xuzheng@shu.edu.cn.

Schedule:
Deadline for paper submission: December 31, 2014
Minor/Major revision due (first round): January 20, 2015
Minor revision due (second round): February 1, 2015
Final decision notification: February 15, 2015
Publication materials due: February 28, 2015
Publication date: April, 2015

Guest Editors:
Zheng Xu, The third research institute of the ministry of public security & Tsinghua University
Yunhuai Liu, The third research institute of the ministry of public security
Haizhong An, China University of Geosciences
Hui Zhang, Tsinghua University


For enquiries, please contact xuzheng@shu.edu.cn.