CALL FOR PAPERS
Springer World Wide Web Journal
Special Issue on Web Information Management in the Big Data Era
http://datamining.rutgers.edu/page/wwwj.htm
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
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