Calls for papers


International Journal of Web Based Communities
International Journal of Web Based Communities


Special Issue on: "Advances in Web Search and Analytic Approaches for Big Data"

Guest Editors:
Dr. Arunkumar Thangavelu, Dr. Venkatesan Meenakshi Sundaram and Dr. Arun Kumar Sangaiah, VIT University, India

The aim of the web analytic approach is to extract knowledge from large amounts of web data, including web documents, hyperlinks between documents, usage logs of websites, etc. Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimising web usage.

The main focus of this special issues will be on recent trends and applications of search engines and the development of analytic methodologies (machine learning/data mining) for large amounts of web documents. Moreover, web-based methodologies are required to manage the large amounts of information available in websites based on big data approaches and technology.

The purpose of this special issue is to address the current state of art in web-based environmental data processing tools in the big data er, along with technological advancements and standards that are relevant technologies for web-based environmental modelling of web-based communities.

Web analytic and web intelligence techniques are very much required to exploit data arising from social media and web logs. Traditional search engines have been limited in handling or processing large amounts of data. These issues and challenges have been addressed with the help of big data technologies for web-based communities. In addition, high-performance analytics depend on web-based methodologies and good web user interfaces to co-invent the future of big data analytics delivered as a service. Consequently, offering a next-generation big data portal with state-of-the-art efficiency and scalability is the prime objective of web search engines.

The data accumulated in the web is very extensive. Most of the data is in the form of text and its unstructured data. In this situation, big data technologies are very useful for handling large amounts of web data. Furthermore, No-SQL databases are one of the big data technologies that support the handling of unstructured data.

The attention paid to web-based methodologies related to research, software industry and web-centric organisations has led to the accumulation of significant knowledge. In this special issue we expect researchers to identify directions for future research in web search analysing big web data.

Subject Coverage
Suitable topics include but are not limited to:

  • Scalable and effiecient architectures for big data search
  • Search and mining of varieties of data
  • Visualisation tools for web big data
  • Web programming models for big data
  • Web content/structure/usage models
  • Cloud and grid computing to support big data
  • Analysis of web unstructured/semi-structured data
  • Scalability of web mining algorithms
  • Web services for big data portals
  • Standard architecture/frameworks for web analytics
  • NoSql for web logs
  • Web privacy methodologies for big data
  • Web user interfaces and solutions for web big data
  • Web-based mobile technologies and applications for big data
  • Web-based tools for big data analytics
  • Distributed and peer-to-peer search
  • Computational modelling and data integration
  • Graph mining, semantic-based data mining for web analytics

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

If you have any queries concerning this special issue, please email the Guest Editors:
Prof. Arunkumar Thangavelu:
Prof. Venkatesan Meenakshi Sundaram:
Prof. Arun Kumar Sangaiah:

Important Dates

Submission deadline: 1 October, 2016

Review notifications: 15 December, 2016

Submission of revised papers: 1 February, 2017

Notification of final review results: 1 April, 2017