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OBD 2016 : The 2nd International Conference on Open and Big Data


When Aug 22, 2016 - Aug 24, 2016
Where Vienna, Austria
Submission Deadline Apr 18, 2016
Notification Due May 30, 2016
Final Version Due Jun 20, 2016
Categories    big data, open data   data analytics   data economics   cloud data, iot data

Call For Papers

----------------------Call for Papers---------------------------

The 2nd International Conference on Open and Big Data (OBD 2016)

22-24 August 2016, Vienna, Austria
Technically co-sponsorship by the IEEE-CS TCI

Data has become a key asset in modern societies, economies, and governmental organizations. Big Data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. Open Data on the other hand can make Big Data more useful and widely accessible. The combination of Open and Big data can benefit users, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations.

The aim of the Open and Big Data conference (OBD 2016) is to promote the state of the art in scientific and practical research of open and big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas.

Topics of interest include, but are not limited to:

- Challenges and opportunities in open and big data
- Data models and architectures
- Security, privacy, and trust
- Data protection and integrity
- Identity theft, data loss and leakage
- Legal and ethical issues
- Data analytics and metrics
- Data representation and structures
- Data management and processing
- Data capturing and acquisition
- Tools and technologies
- QoS in open and big data
- Social networks analysis
- Data searching and mining
- Visualisation of data
- Personal data logging and quantified-self
- Context-aware data
- Personalisation of data
- Data economics
- Applications of open and big data
- Open and linked data
- Methodologies and use cases
- Usability issues
- Storages and network requirements
- Network models and protocols
- Open and big data in cloud and IoT


All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services;

Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see Journal Special Issues section).

Important Dates:
Submission Deadline: 18 April 2016
Authors Notification: 30 May 2016
Final Manuscript Due: 20 June 2016

General Chair:
A Min Tjoa, Technical University of Vienna, Austria

Program Co-Chairs:
David Taniar, Monash University, Australia
Irfan Awan, University of Bradford, UK
Jamal Bentahar, University of Concordia, Canada

Local Organising Chairs:
Natalia Kryvinska, University of Vienna, Austria
Christine Strauss, University of Vienna, Austria

Publication Chair:
Muhammad Younas, Oxford Brookes University, UK

Workshop Coordinator:
Lay Ki Soon, Multimedia University, Malaysia

Journal Special Issues Coordinator:
Farookh Hussain, University of Technology Sydney, Australia

Publicity Chair:
Bilan Zhu, Tokyo University of Agriculture and Technology, Japan

Advisory Committee:
Salima Benbernou, Universite Paris Descartes, France
Elisa Bertino, Purdue University, USA
Schahram Dustdar, Vienna University of Technology, Austria
Katarzyna Wac, University of Geneva, Switzerland
Keith Jeffery, Independent Consultant and Ex-Director IT at STFC RAL, UK
Dana Petcu, Western University of Timisoara, Romania
Marcos Antonio Vaz Salles, University of Copenhagen, Denmark
David Taniar, Monash University, Australia
Yanchun Zhang, Victoria University, Australia

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