Call for papers

Formats: PDF (Last Update: 3 October 2018)

Important Dates

Submission Deadline:   November 16th, 2018
Authors Notification:   December 5th, 2018
Authors Registration:   December 20th, 2018
Final Manuscript:   December 20th, 2018
Conference Dates:   February 26th-28th, 2019


The 7th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2019) is dedicated to the dissemination of original contributions that are related to the theories, practices and concepts of emerging Internet, Data and Web technologies yet most importantly of their applicability in business and academia towards a collective intelligence approach. EIDWT-2019 will discuss advances in information networking and exploitation of data generated from emerging data technologies such as Data Centers, Data Grids and Clouds.

The aim of EIDWT-2019 is to discuss methods and practices which bring various internetworking and emerging data technologies together to capture, integrate, analyze, mine and visualize data and made available from various community users.

The EIDWT-2019 provides a forum for original discussion and prompt future directions in the area. The main topic areas include, but are not limited to:

  • Internet Protocols, Modelling and Optimization
  • Network and Data Security, Trust and Reputation
  • Big Data and Cloud Computing
  • Mobile and Wireless Networks
  • 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 Organizations
  • Data Management and Information Retrieval
  • Machine Learning on Large Data Sets & Massive Processing
  • Data Modeling, Visualization and Representation Tools
  • Nature Inspired Computing
  • Data Sensing, Integration and Querying Systems and Interfaces
  • e-Science Data Sets, Repositories, Digital Infrastructures
  • Energy-aware and Green Computing in Data Centers