<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri",sans-serif;
mso-fareast-language:EN-US;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:#954F72;
text-decoration:underline;}
span.StileMessaggioDiPostaElettronica17
{mso-style-type:personal-compose;
font-family:"Calibri",sans-serif;
color:windowtext;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri",sans-serif;
mso-fareast-language:EN-US;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:70.85pt 2.0cm 2.0cm 2.0cm;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]--></head><body lang=IT link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal><span lang=EN-US>S.I. On the Importance of Semantics in Big Data Integration, Storage, and Processing<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>[Apologies if you receive multiple copies of this CfP]<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>-------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>FOUNDATIONS of COMPUTING and DECISION SCIENCES journal<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>http://fcds.cs.put.poznan.pl/fcds2/ <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>De Gruyter Publisher<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>https://www.degruyter.com/view/j/fcds<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Indexed by: Clarivate Analytics - Emerging Sources Citation Index<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>-------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>SPECIAL ISSUE:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>On the Importance of Semantics in Big Data Integration, Storage, and Processing<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>-------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal>Guest editors:<o:p></o:p></p><p class=MsoNormal>-------------------------------------------------------------------------------<o:p></o:p></p><p class=MsoNormal>Paolo Ceravolo<o:p></o:p></p><p class=MsoNormal> Universita' degli Studi di Milano, Italy<o:p></o:p></p><p class=MsoNormal><o:p></o:p></p><p class=MsoNormal>Robert Wrembel<o:p></o:p></p><p class=MsoNormal> Poznan University of Technology, Poland<o:p></o:p></p><p class=MsoNormal><o:p></o:p></p><p class=MsoNormal><span lang=EN-US>Aims:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>-------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>The complexity of Big Data technologies and the variety of knowledge and skills<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>needed to design Big Data applications have emphasized the relevance of systems <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>for managing and documenting Big Data architectures. Documentation, <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>reconfiguration, and verification are crucial tasks for a solid <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>design of technological solutions, but are only partially supported in the <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>current landscape of Big Data technologies. Rethinking data and metadata <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>management in the context of Big Data technologies is then a primary goal for <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>future research.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Methods, principles, and perspectives developed by the Data Semantics community <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>can significantly contribute to the aformentioned issues. Solutions for <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>integrating and querying schema-less data, have received much attention. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Standards for metadata management have been proposed to improve data integration <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>among silos and to make data more discoverable and accessible through <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>heterogeneous infrastructures. A further level of application of Data Semantics <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>principles in Big Data technologies involves Representing Processes, i.e. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>the entire pipeline of technologies connected to achieve a specific solution <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>and to make this representation shareable and verifiable to support a mature <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>implementation of the Big Data production cycle. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Following the manifesto paper "Big Data Semantics" (J. Data Semantics 7(2), <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>2018), which identified the important and yet unsolved issues of managing <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>semantics of Big Data, we continue research on this topic. The aim of this <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>special issue of FCDS is to promote research on Big Data semantics and to <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>create a common place for sharing contributions to this topic.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Topics of interest for submission include (but are not limited to):<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>-------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Big Data Management<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Metadata Management<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data Persistence and Preservation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data Quality and Provenance Control<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data Storage and Retrieval<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Big Data Integration Architectures and Techniques<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Data Source Discovery<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data Profiling and Semantics Discovery<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Querying Heterogeneous Big Data Repositories<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Caching and Materializing Query Results<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Quality of Big Data Services<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data Service Performance Evaluation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data Service Reliability and Availability<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Reproducibility of Big Data Services<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Verifiability of Big Data Services<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Assurance in Big Data Services<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Big Data Visualization<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Real Time Visualisation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Visualization Analytics for Big Data<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Social Media Mining<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Big Data Security and Privacy<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data System Security and Integrity<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Big Data Information Security<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Privacy-Preserving Big Data Analytics<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Usable Security and Privacy for Big Data<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Performance of Big Data Architectures<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Query Optimization<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Optimal Selection of Analytics<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> Physical Structures<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Timetable:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>-------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>20 Feb 2019 - paper submission<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>10 May 2019 - author notification<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>31 Jul 2019 - revision submission<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>31 Sep 2019 - final acceptance notification<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>10 Oct 2019 - camera-ready submission<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Submission information:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>-------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Papers must be submitted via EasyChair using the following address:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> https://easychair.org/conferences/?conf=fcdsspecialissue2019<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* We encourage using Latex, the FCDS template can be downloaded<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> from: http://fcds.cs.put.poznan.pl/FCDS/Files/fcds.zip<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Max number of pages: 28 in the FCDS style<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p></div>
</body></html>