S.I. On the Importance of Semantics in Big Data Integration, Storage, and Processing [Apologies if you receive multiple copies of this CfP] ---------------------------------------------------------------------------- --- 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 ---------------------------------------------------------------------------- --- SPECIAL ISSUE: On the Importance of Semantics in Big Data Integration, Storage, and Processing ---------------------------------------------------------------------------- --- Guest editors: ---------------------------------------------------------------------------- --- Paolo Ceravolo Universita' degli Studi di Milano, Italy Robert Wrembel Poznan University of Technology, Poland Aims: ---------------------------------------------------------------------------- --- 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): ---------------------------------------------------------------------------- --- 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: ---------------------------------------------------------------------------- --- 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: 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