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During the last decade, the progress of Information and Communication Technologies (ICT) exponentially increased the quantity of information available. The resulting data is often called Big Data, being characterized by its important volume, high velocity and variety. Related issues concern the problem of managing, integrating, querying and visualizing such massive and heterogeneous data. Specific techniques and methods have been developed by the international community. Virtualized environments and their related applications have been identified as suitable for processing and managing such data. Still, other issues have been identified and several trends are emerging to address those issues. 
On the one hand, cloud computing provides a powerful model to connect users to information resources from anywhere in the world. It has become a significant technology with several advantages including cost savings, access to greater computing resources, high availability, and scalability. 
On the other hand, the advent of Semantic Web has raised new opportunities and challenges. In this context, Big Data and Linked Data are being an integral part of the web infrastructure, where massive amounts of connected or possibly interconnectable data, addressable via URIs/IRIs, are available. These technologies are paving the way of the Web of Data. Moreover, ontology-based systems have been recognized as interesting and promising in what concerns data interoperability, mainly because they handle formal representations of data over which one may perform reasoning. Given the underlying heterogeneity and complexity of Big Data, several research issues have been identified in domains such as: Enterprise Information Systems' Interoperability, Building Information Modeling (BIM), Bioinformatics, E-Health, E-Government. 
The aim of the BigCVEn Workshop is to provide a forum to bring together scientists, researchers and practitioners interested in these emerging architectures and methodologies for capturing, storing, managing and analyzing massive, dispersed, interconnected data over the Web. It also aims to discuss the connection and\or interaction between Web of Data/Linked Data and Big Data/Cloud Computing.

征稿信息

重要日期

2016-09-24
初稿截稿日期
2016-10-24
终稿截稿日期

征稿范围

• Cloud computing/Mobile Cloud

  • Cloud Computing standards and technologies

  • Cloud Computing specifications and enhancements

  • Cloud Computing discovery and integration

  • Cloud Computing, cluster and high performance computing and storage infrastructure for massive data

  • Cloud Computing security and QoS

  • Cloud Computing applications and solutions

  • Cloud and Social Network Analysis

  • Mobile Cloud Computing applications

  • Mobile cloud resource management

  • Mobile cloud middleware

  • Mobile cloud architecture

  • Energy efficiency in Mobile Cloud computing

  • Context-aware mobile cloud computing

• Big Data

  • Large big data stream processing

  • Scalability in processing large data volumes

  • Integrating spatio-temporal aspects in Big Data

  • Multiple data source processing

  • Big Data integration

  • Big Data Visualization

  • Mobile data analytics

  • Social Media Big Data

  • Use cases, Practical application of Big Data techniques, Big Data issues in:

  • Bioinformatics, Cheminformatics and Hydroinformatics

  • Building Information Modeling (BIM)

  • Geographic Information Systems (GIS)

  • Disaster Management

  • Social Networks

• Web of data, Linked data

  • Publishing Linked Data and Data Interlinking

  • Large Scale Ontologies Matching and Mapping

  • Instances Matching and Semantic Interoperability

  • Semantic Technologies for Enterprise Information Systems' Interoperability

  • Linked Open Services

  • Linked Open Data Cloud

  • Linked Data Science

  • Government Linked Data

  • Linked Data for Building Information Modeling (BIM)

  • Linked Data for Disaster Management

• Web Services, Virtualized systems and Applications

  • Web application development on virtualized infrastructures and platform

  • Web information handling on virtualized storage

  • Web applications on Cloud infrastructure Virtualized RDF data indexing and storage

  • Virtualized Systems security, privacy, and trust

  • Data management and mining in social Web

  • Web advertising and community analysis

  • Web-based collaboration

  • Web service and information management

  • Virtual communities on the cloud

  • Design and analysis of social or collaborative applications

  • Cloud and service compuing

  • Enterprise Information Systems' Interoperability

• Applications, Evaluations, and Experiences in

  • E-Business, Social Networks

  • Bioinformatics and Translational Medicine

  • Epidemic Intelligence, Health Informatics, E-Health

  • Agronomic and Environmental field

  • E-Government

  • Enterprise Information Systems' Interoperability

  • Building Information Modeling

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重要日期

  • 会议日期

    11月28日

    2016

    至

    12月01日

    2016

  • 09月24日 2016

    初稿截稿日期

  • 10月24日 2016

    终稿截稿日期

  • 12月01日 2016

    注册截止日期

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