S.I. On the Importance of Semantics in Big Data Integration, Storage, and Processing
[Apologies if you receive multiple copies of this CfP]
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FOUNDATIONS of COMPUTING and DECISION SCIENCES journal
http://fcds.cs.put.poznan.pl/fcds2/
De Gruyter Publisher
https://www.degruyter.com/view/j/fcds
Indexed by: Clarivate Analytics - Emerging Sources Citation Index
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SPECIAL ISSUE:
On the Importance of Semantics in Big Data Integration, Storage, and Processing
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Guest editors:
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Paolo Ceravolo
Universita' degli Studi di Milano, Italy
Robert Wrembel
Poznan University of Technology, Poland
Aims:
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The complexity of Big Data technologies and the variety of knowledge and skills
needed to design Big Data applications have emphasized the relevance of systems
for managing and documenting Big Data architectures. Documentation,
reconfiguration, and verification are crucial tasks for a solid
design of technological solutions, but are only partially supported in the
current landscape of Big Data technologies. Rethinking data and metadata
management in the context of Big Data technologies is then a primary goal for
future research.
Methods, principles, and perspectives developed by the Data Semantics community
can significantly contribute to the aformentioned issues. Solutions for
integrating and querying schema-less data, have received much attention.
Standards for metadata management have been proposed to improve data integration
among silos and to make data more discoverable and accessible through
heterogeneous infrastructures. A further level of application of Data Semantics
principles in Big Data technologies involves Representing Processes, i.e.
the entire pipeline of technologies connected to achieve a specific solution
and to make this representation shareable and verifiable to support a mature
implementation of the Big Data production cycle.
Following the manifesto paper "Big Data Semantics" (J. Data Semantics 7(2),
2018), which identified the important and yet unsolved issues of managing
semantics of Big Data, we continue research on this topic. The aim of this
special issue of FCDS is to promote research on Big Data semantics and to
create a common place for sharing contributions to this topic.
Topics of interest for submission include (but are not limited to):
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Big Data Management
Metadata Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Storage and Retrieval
Big Data Integration Architectures and Techniques
Data Source Discovery
Big Data Profiling and Semantics Discovery
Querying Heterogeneous Big Data Repositories
Caching and Materializing Query Results
Quality of Big Data Services
Big Data Service Performance Evaluation
Big Data Service Reliability and Availability
Reproducibility of Big Data Services
Verifiability of Big Data Services
Assurance in Big Data Services
Big Data Visualization
Real Time Visualisation
Visualization Analytics for Big Data
Big Social Media Mining
Big Data Security and Privacy
Big Data System Security and Integrity
Big Data Information Security
Privacy-Preserving Big Data Analytics
Usable Security and Privacy for Big Data
Performance of Big Data Architectures
Query Optimization
Optimal Selection of Analytics
Physical Structures
Timetable:
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20 Feb 2019 - paper submission
10 May 2019 - author notification
31 Jul 2019 - revision submission
31 Sep 2019 - final acceptance notification
10 Oct 2019 - camera-ready submission
Submission information:
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* Papers must be submitted via EasyChair using the following address:
https://easychair.org/conferences/?conf=fcdsspecialissue2019
* We encourage using Latex, the FCDS template can be downloaded
from: http://fcds.cs.put.poznan.pl/FCDS/Files/fcds.zip
* Max number of pages: 28 in the FCDS style