News and Updates

April 27th, 2015 EIDWT-2016 Web-page opened

Aims and Scope

The 5th International Conference on Emerging Internetworking, Data and Web Technologies (EIDWT-2016) is dedicated to the dissemination of original contributions that are related to the theories, practices and concepts of emerging internetworking, data technologies and Web technologies yet most importantly of their applicability in business and academia towards a collective intelligence approach. In particular, EIDWT-2016 will discuss advances in information networking and utilization and exploitation of data generated from emerging data technologies such as Data Centers, Data Grids, Clouds, Crowds and Mashups.

The scope of EIDWT-2016 is to discuss methods and practices which bring various internetworking and emerging data technologies together to capture, integrate, analyze, mine, annotate and visualize data and then made available from various community users.

EIDWT-2016 aims also to provide a forum for original discussion and prompt future directions in the area. The main topic areas include, but are not limited to:

  • Emerging trends, issues and challenges in Inter-networking and data technologies
  • Mobile and Wireless Networks
  • Network Protocols, modelling, optimization and Performance Evaluation
  • P2P and Grid Computing
  • Distributed and Parallel Systems
  • Ontologies and Metadata Representation
  • Knowledge Discovery and Mining
  • Databases and Data Warehouses
  • Data Centers and IT Virtualization Technologies
  • Web Science and Business Intelligence
  • Data Analytics for Learning and Virtual Organisations
  • Data Management and Information Retrieval
  • Machine Learning on Large Data Sets & Massive processing
  • Data Modeling, Visualization and Representation Tools
  • Nature Inspired Computing for Emerging Collective Intelligence and Anthropo oriented computing
  • Data Sensing, Integration and Querying Systems and Interfaces
  • Data Security, Trust and Reputation
  • e-Science Data Sets, Repositories, Digital Infrastructures
  • Energy-aware and Green Computing in Data