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<span lang="EN-AU" style="font-size: 16pt; font-family: Arial;">Call for Papers</span><span lang="EN-AU" style="font-size: 16pt; font-family: Arial;"><o:p></o:p></span></div>
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<span lang="EN-AU" style="font-size: 16pt; font-family: Arial;">Special Issue on Big Data Analytics and the Web<o:p></o:p></span></div>
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<span lang="EN-AU" style="font-size: 16pt; font-family: Arial;">IEEE Transactions on Big Data<o:p></o:p></span></div>
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<span lang="EN-AU" style="font-family: Arial;"> </span></div>
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<span lang="EN-AU" style="font-size: 11pt;">Last few years have seen the rapid increase of sheer amount of data produced and communicated over the Web. Such Big Data </span><span style="font-size: 11pt;">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 (<span class="SpellE">WoT</span>). <span class="SpellE">WoT</span> 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. <o:p></o:p></span></div>
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<span style="font-size: 11pt;">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</span><span style="font-size: 11pt;"> 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 </span><span style="font-size: 11pt;">uncertainties, </span><span style="font-size: 11pt;">and finally turns low-level data into actionable
knowledge towards better understanding and manipulation of Big Data. </span><span style="font-size: 11pt;">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:</span><span lang="EN-AU" style="font-size: 11pt; font-family: Arial;"><o:p></o:p></span></p>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Knowledge acquisition from Big Data on the Web</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></p>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Reasoning over uncertain Web data<o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Efficient models and solutions for</span><span style="font-family: 'Times New Roman';"> querying
and processing Big Data on the Web</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Algorithms and systems for Web-scale mining<o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Web-based crowdsourcing and data analytics</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Big Data and Web of Things</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Clustering, classification, and summarization of Web data</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Web-based s</span><span style="font-family: 'Times New Roman';">ocial </span><span style="font-family: 'Times New Roman';">sensing
and d</span><span style="font-family: 'Times New Roman';">ata analytics<o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Analytic Web services for Big Data</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Open Linked Data and the Semantic Web<o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Web data integration</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Machine learning on deep Web data</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Data stream mining and <span class="SpellE">spatio</span>-temporal data analytics on Web
of Things</span><span style="font-family: 'Times New Roman';"><o:p></o:p></span></div>
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<span style="font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-family: 'Times New Roman';">Business </span><span style="font-family: 'Times New Roman';">a</span><span style="font-family: 'Times New Roman';">nalytics
& Big Data practice on the Web<o:p></o:p></span></div>
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<o:p> </o:p></div>
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<span lang="EN-AU" style="font-size: 12pt;">Submission Instructions<o:p></o:p></span></h3>
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<span style="font-size: 11pt;">Before submitting your manuscript, please ensure you have carefully read the </span><a href="http://www.computer.org/web/tbd/author" title="JES Instructions for Authors" style="color: purple;"><span style="font-size: 11pt;">Instructions
for Authors</span></a><span style="font-size: 11pt;"> for <i>IEEE Transactions on<em> Big Data</em></i><em><span style="font-style: normal;"> (TBD)</span></em>. The complete manuscript should be submitted through TBD’s </span><span class="MsoHyperlink" style="color: blue; text-decoration: underline;"><span style="font-size: 11pt;">submission
system</span></span><span style="font-size: 11pt;">. 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. <o:p></o:p></span></div>
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<span lang="EN-AU" style="font-size: 12pt;"> </span></div>
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<span lang="EN-AU" style="font-size: 12pt;">Important Dates<o:p></o:p></span></div>
<pre style="margin: 6pt 0in 0.0001pt 0.5in; font-size: 10pt; font-family: 'Courier New'; text-align: justify; text-indent: -0.25in;"><span style="font-size: 11pt; font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-size: 11pt; font-family: 'Times New Roman';">30/06/2015 Paper submission due<o:p></o:p></span></pre>
<pre style="margin: 0in 0in 0.0001pt 35.7pt; font-size: 10pt; font-family: 'Courier New'; text-align: justify; text-indent: -17.85pt;"><span style="font-size: 11pt; font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-size: 11pt; font-family: 'Times New Roman';">30/09/2015 </span><span style="font-size: 11pt; font-family: 'Times New Roman';">1<sup>st</sup> round review due <o:p></o:p></span></pre>
<pre style="margin: 0in 0in 0.0001pt 0.5in; font-size: 10pt; font-family: 'Courier New'; text-align: justify; text-indent: -0.25in;"><span style="font-size: 11pt; font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-size: 11pt; font-family: 'Times New Roman';">31/10/2015 </span><span style="font-size: 11pt; font-family: 'Times New Roman';">1<sup>st</sup> revision due</span><span style="font-size: 11pt; font-family: 'Times New Roman';"><o:p></o:p></span></pre>
<pre style="margin: 0in 0in 0.0001pt 0.5in; font-size: 10pt; font-family: 'Courier New'; text-align: justify; text-indent: -0.25in;"><span style="font-size: 11pt; font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-size: 11pt; font-family: 'Times New Roman';">30/11/2015 2<sup>nd</sup> round review due<o:p></o:p></span></pre>
<pre style="margin: 0in 0in 0.0001pt 0.5in; font-size: 10pt; font-family: 'Courier New'; text-align: justify; text-indent: -0.25in;"><span style="font-size: 11pt; font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-size: 11pt; font-family: 'Times New Roman';">15/12/2015 2<sup>nd</sup> revision due<o:p></o:p></span></pre>
<pre style="margin: 0in 0in 0.0001pt 0.5in; font-size: 10pt; font-family: 'Courier New'; text-align: justify; text-indent: -0.25in;"><span style="font-size: 11pt; font-family: Symbol;">·<span style="font-size: 7pt; font-family: 'Times New Roman';"> </span></span><span style="font-size: 11pt; font-family: 'Times New Roman';">31/12/2015 </span><span style="font-size: 11pt; font-family: 'Times New Roman';">Final due<o:p></o:p></span></pre>
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<b><span style="font-size: 10pt; font-family: Arial;"> </span></b></div>
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<b>Guest Editors</b><o:p></o:p></div>
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<span style="font-size: 11pt;">Michael Sheng, the </span><span lang="EN-AU" style="font-size: 11pt;">University of Adelaide, Australia (<a href="mailto:michael.sheng@adelaide.edu.au">michael.sheng@adelaide.edu.au</a>)</span><span style="font-size: 11pt;"><o:p></o:p></span></p>
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<span style="font-size: 11pt;">A</span><span class="SpellE"><span lang="EN-AU" style="font-size: 11pt;">thanasios</span></span><span lang="EN-AU" style="font-size: 11pt;"> V. <span class="SpellE">Vasilakos</span>, Lulea </span><span style="font-size: 11pt;">University
of Technology, Sweden (<a href="mailto:th.vasilako@gmail.com">th.vasilako@gmail.com</a>)</span><span lang="EN-AU" style="font-size: 10pt;"><o:p></o:p></span></div>
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<span lang="EN-AU" style="font-size: 11pt;">Qi Yu, Rochester Institute of Technology, USA (<a href="mailto:qi.yu@rit.edu">qi.yu@rit.edu</a>)<o:p></o:p></span></div>
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<span lang="EN-AU" style="font-size: 11pt;">Lina Yao, the University of Adelaide, Australia (<a href="mailto:lina.yao@adelaide.edu.au">lina.yao@adelaide.edu.au</a>)</span></div>
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