[CFP - FGCS] AI For Interoperability - Elsevier Future Generation Computer Systems (FGCS) Special Issue - IF 7.5

[Ivan Dimitry Zyrianoff]

Title of Special Issue : AIFI - AI For Interoperability  

Motivation and aim of the SI:  

With the increasing number of data processing technologies, interoperability represents one of the biggest challenges in gathering information from heterogeneous sources. Data collection involves different hardware and software solutions, the adoption of different formats, and the sharing of different meanings. Data interoperability encompasses how diverse datasets are exchanged, merged or aggregated in seamless and meaningful ways, enabling the extraction of knowledge that can be inferred from the whole dataset but not from single sources. While research in this domain explored diverse strategies, the advent of Artificial Intelligence (AI) represents a new frontier in enhancing data interoperability.  

AI can intervene at different steps of the data processing lifecycle: at acquisition time to adapt data collection for future use or compatibility with other technologies, during the storing process to perform semantic enrichment and alignment with a broader dataset, during the data analysis to federate knowledge from multiple repositories.  

This special issue explores diverse approaches, challenges, and benefits in AI-driven data interoperability, focusing on the domains of the Internet of Things, Big Data, and Knowledge Graphs. This special issue can raise valuable insights into how AI can enhance data interoperability, enabling efficient use of diverse datasets to drive innovation and ease knowledge discovery.  

 

List of topics covered in the SI:

-Middleware Strategies empowered by AI  

-AI-Driven Standardization and Adaptive Data Formats  

-Federated Knowledge Extraction  

-Interoperability solutions based on Generative AI  

-Interoperable architecture, protocols, and standards for large-scale IoT deployments enabled by AI.  

-Automatic design and integration of IoT standards, such as the W3C Web of Things (WoT) specifications, powered by AI techniques.  

-Methods and algorithms to improve interoperability at the knowledge level  

-AI solutions for blockchain interoperability  

-Explainable AI for enhanced interoperability  

-AI-based data privacy and security in interoperable systems  

-AI-driven ontology alignment and semantic interoperability  

Guest Editors:

-Luca Sciullo, University of Bologna, Italy, luca.s...@unibo.it  

-Ivan Zyrianoff, University of Bologna, Italy, ivandimit...@unibo.it  

-Ronaldo C. Prati, Federal University of ABC, Brazil, ronald...@ufabc.edu.br  

-Lionel Medini, University of Claude Bernard Lyon 1, France, lionel...@liris.cnrs.fr  

 

Important Dates  

Submission portal opens: May 15th, 2024

Deadline for paper submission: November 15th, 2024

Latest acceptance deadline for all papers: March 15th, 2025

Manuscript Submission Instructions

The FGCS’s submission system (https://www.editorialmanager.com/FGCS/default.aspx) will be open for submissions to our Special Issue from May 15th, 2024. When submitting your manuscript please select the article type VSI: AI for Interoperability

All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue.