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
08月22日
2016
08月24日
2016
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