Springer World Wide Web Journal

Special Issue on Web Information Management in the Big Data Era

Not only is data creation by humanity on an unprecedented tear, the rate of doing so is accelerating as well --- so much so that 90% of the data in the world today has been created in the past two years alone. Data comes from every source imaginable: sensors used to gather location information, posts on social media sites, digital pictures and videos, retail records, and tweets to name a few. It certainly is the era of big data. Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data and content, to make an organization more agile and adaptable, and to answer questions that were previously considered beyond people's reach. It is fundamentally impacting various scientific disciplines as well, e.g. leading to better understanding of climate change (http://climatechange.cs.umn.edu), and revolutionizing the study of social sciences (http://www.vwobservatory.com).

Until now, there were very few practical ways to create this opportunity. Indeed, Web information from the Internet, an ocean of content, swirling with documents, news, blogs, twits, speculation and rumors, is one of the most important parts of big data. Meanwhile, knowledge management consists of a range of strategies and practices to identify, create, represent, distribute, manage, and enable the adoption of insights and experiences. Therefore, there is a crucial need to reinvestigate and re-examine Web information management issues in the big data era. As a result of this data-driven development, Web information management in the big data era becomes a never-ending resilience field and attracts growing research efforts from different areas.

Springer World Wide Web Journal solicits papers presenting original research for a Special Issue titled Web Information Management in the Big Data Era. The goal of this special issue is to bring together current development, ideas, and applications of Web information management, especially as it is being transformed by big data. Manuscripts are solicited to address a wide range of topics in Web information management in the big data era, but not limit to the following:

1. Advanced database and Web applications
2. Big data management and analysis
3. Cloud data mining
4. Cloud computing
5. Content management
6. Data and information quality
7. Databases for emerging hardware
8. Data management for mobile and pervasive computing
9. Deep Web
10. Energy efficient computing for big data
11. Information extraction
12. Information integration and heterogeneous systems
13. Linking and graph mining
14. Knowledge base systems
15. Mobile Internet
16. RDF data indexing and storage
17. Recommender systems
18. Scientific data management and mining
19. Semantic Web and ontology
20. Security, privacy, and trust
21. Social Network Analysis
22. Social search
23. Data management and mining in social Web
24. Filtering techniques (ranking, collaborative filtering, topic detection and tracking, etc) for social Web
25. Web advertising and community analysis
26. Web-based collaboration
27. Web search and meta-search
28. Web service and information management

We expect to have the papers in two categories. In the technology category, your paper should answer the questions 'What new Web information management technological innovation exists in your paper which is due to big data?' In the application category, your paper should answer the question 'How is your application generating or involving big data, and how web information management is impacting your application in novel ways?' Also, your paper may provide a detailed case study of a big data application.

Submission Guidelines

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. Springer offers authors, editors and reviewers of World Wide Web Journal a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript. Manuscripts should be submitted to: http://WWWJ.edmgr.com under the article type "Web Information Management". This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats.

Important Dates

Submission Deadline	10 May 2013
Preliminary Results	10 August 2013
Revised Version	10 September 2013
Notification of Acceptance	10 October 2013
Final Manuscripts Due	10 November 2013
Anticipated Publication	Late 2013/Early 2014

Guest editors

Hui Xiong	Rutgers University, USA	hxiong@rutgers.edu
Jianyong Wang	Tsinghua University, China	jianyong@tsinghua.edu.cn
Jaideep Srivastava	University of Minnesota, USA	srivasta@cs.umn.edu
Enhong Chen	Univ. of Science and Technology of China, China	cheneh@ustc.edu.cn

© 2012 Data Mining Group @ Rutgers Business School