[Om-announce] [FCDS] S.I. On the Importance of Semantics in Big Data Integration, Storage, and Processing

Fulvio Frati fulvio.frati at unimi.it
Fri Nov 30 17:40:03 CET 2018

S.I. On the Importance of Semantics in Big Data Integration, Storage, and

[Apologies if you receive multiple copies of this CfP]




De Gruyter Publisher


Indexed by: Clarivate Analytics - Emerging Sources Citation Index



On the Importance of Semantics in Big Data Integration, Storage, and


Guest editors:


Paolo Ceravolo

  Universita' degli Studi di Milano, Italy

Robert Wrembel

  Poznan University of Technology, Poland



The complexity of Big Data technologies and the variety of knowledge and

needed to design Big Data applications have emphasized the relevance of

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

future research.

Methods, principles, and perspectives developed by the Data Semantics

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

among silos and to make data more discoverable and accessible through 

heterogeneous infrastructures. A further level of application of Data

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):


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



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:


* Papers must be submitted via EasyChair using the following address:


* 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




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