[AISWorld] Call for Papers: IEEE Transactions on Big Data: Special Issue on Big Data Analytics and the Web

[Michael Sheng]

Call for Papers
Special Issue on Big Data Analytics and the Web
IEEE Transactions on Big Data

Last few years have seen the rapid increase of sheer amount of data 
produced and communicated over the Web. Such Big Data are generated from 
all kinds of sources and applications such as social network services, 
cloud services, knowledge bases, and intelligent terminals, and often in 
a wide variety of formats such as unstructured, semi-structured, and 
structured. A particular recent trend around the Web is to connect and 
communicate between billions of physical objects (also called "Things'), 
i.e., Web of Things (WoT). WoT offers the capability of integrating both 
physical and virtual worlds and massive volumes of real-time data are 
expected to be produced by these connected things and their associated 
sensors.

While it is widely believed that Big Data holds the potential to 
revolutionize many aspects of our modern society (e.g., smart cities), 
many technical challenges need to be addressed before this potential can 
be realized. Indeed, Big Data requires a revisit of data analysis 
systems in fundamental ways at all stages from data acquisition and 
storage to data transformation and interpretation. Services should be 
ideally provisioned in a way that speeds up data processing, scales up 
with data volume, improves the adaptability and extensibility over data 
diversity and uncertainties, and finally turns low-level data into 
actionable knowledge towards better understanding and manipulation of 
Big Data. This special issue aims at presenting the latest developments, 
trends, and research solutions of Big Data analytics on the Web. Topics 
of interests include, but are not limited to:

* Knowledge acquisition from Big Data on the Web
* Reasoning over uncertain Web data
* Efficient models and solutions for querying and processing Big Data on 
the Web
* Algorithms and systems for Web-scale mining
* Web-based crowdsourcing and data analytics
* Big Data and Web of Things
* Clustering, classification, and summarization of Web data
* Web-based social sensing and data analytics
* Analytic Web services for Big Data
* Open Linked Data and the Semantic Web
* Web data integration
* Machine learning on deep Web data
* Data stream mining and spatio-temporal data analytics on Web of Things
* Business analytics & Big Data practice on the Web

Submission Instructions

Before submitting your manuscript, please ensure you have carefully read 
the Instructions for Authors for IEEE Transactions on Big Data (TBD). 
The complete manuscript should be submitted through TBD's submission 
system. To ensure that you submit to the correct special issue, please 
select the appropriate section in the drop-down menu upon submission. In 
your cover letter, please also clearly mention the title of the SI.

Important Dates

30/06/2015                Paper submission due
30/09/2015                1st round review due
31/10/2015                1st revision due
30/11/2015                2nd round review due
15/12/2015                2nd revision due
31/12/2015                Final due

Guest Editors

Michael Sheng, the University of Adelaide, Australia 
(michael.sheng at adelaide.edu.au)

Athanasios V. Vasilakos, Lulea University of Technology, Sweden 
(th.vasilako at gmail.com)

Qi Yu, Rochester Institute of Technology, USA (qi.yu at rit.edu)

Lina Yao, the University of Adelaide, Australia (lina.yao at adelaide.edu.au)