The ISSA (Intelligent Systems, Services and Applications) track of the 16th international conference SITIS will focus on emerging concepts, architectures, protocols, and methodologies for information management on modern distributed systems such as Cloud, Edge, Fog, and IoT. Nowadays, unlimited number of smart objects are connected with the scope of making our environment more interactive. Information can be exchanged easily, tasks can be processed collaboratively, devices and objects can be efficiently connected, communities of users with similar interests can be formed to achieve their goals proficiently and improve performance. New issues and challenges are emerging in this pervasive and collaborative world ranging from the need for high-accurate decision systems able to adapt to changing environments to the need of protecting the safety, security and privacy of the users, which are increasingly seen as yet another component of these systems. To address the above issues and challenges, modern systems and applications are increasingly based on ML/AI models made available thanks to the huge amount of data and the increased networking performance (e.g., 5G low latency). In this context, the data produced by the environment defined a paradigm named “Big Data”. In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself.

Novel architectures and solutions are being proposed promoting this incoming Intelligent Web era, ranging over enhanced machine-to-machine communications, resource sharing and processing of linked data and devices, distributed computing and cooperative systems, mobile information systems and services, semantic-based applications and intelligent data processing, advanced distributed learning and AI model ensemble strategies to state a few examples. On top of this, novel data security and privacy protocols, as well as assurance and certification approaches, need to be designed and implemented to guarantee a given level of trustworthiness and reliability on modern systems and applications.

ISSA track aims to provide an international forum for researchers, professionals, and industrial practitioners to share their experiences and knowledge in this growing and highly important area of internet and Web technologies.

The topics of interest of the track include, but are not limited to:

Data semantics and Web-Centric Systems

  • Ontologies and Conceptual Data Modeling
  • Knowledge Representation and Reasoning
  • Semantic Data Integration and Ontology Engineering
  • Social Media and Social Semantics
  • Folksonomies and Emergent Semantics
  • Web/Data Mining and Machine Learning
  • Recommender Systems and Crowd-sourcing
  • Semantic Data Indexing, Search, and Retrieval
  • Multimedia Data Modeling and Visualization
  • Semantics in Data Access, Visualization, and User Interfaces
  • Semantic Technologies for Mobile Platforms

Big Data Management and Analytics

  • Theoretical Models for Big Data
  • Computational Models for Big Data
  • Data and Information Quality for Big Data
  • Big Data Models, Representation Formats, and Algorithms
  • Big Data Semantics and Knowledge Organization
  • Big Data Architectures and Storage
  • Descriptive, Predictive, and Predictive analytics on Big Data
  • Machine Learning Algorithms for Big Data
  • Big Data Integration Architectures and Techniques
  • Graph Modeling, Storage, and Analytics

Service-based Computing

  • Data and Knowledge as a Services
  • Web Services, Mobile services, and Service Computing
  • Software Architecture and Middleware
  • Semantic and Intelligent Services
  • Service Discovery, Selection, and Recommendation
  • Service Composition and Service-based data Integration
  • Business Process as a Service (BPaaS)
  • Health Informatics as a Service (HIaaS)
  • Financial Software as a Service (FSaaS)
  • Education as a Service (EaaS)

 Intelligent Services and Applications

  • Future Networks for Cloud Edge Fog and IoT
  • Artificial Intelligence in Edge/IoT computing
  • Distributed Ontologies and Contextual Reasoning
  • Semantic Interoperability and Semantic Mediators
  • Collective Knowledge and Collective Intelligence
  • Data Analysis and Visualization for health and Smart Cities
  • Smart Homes and Independent Living
  • Intelligent Service Discovery, selection, and composition
  • Service-based data Integration
  • Business Process as a Service (BPaaS)
  • Health Informatics as a Service (HIaaS)
  • Ecosystem services and management

Information Security and Privacy

  • Security Modeling and Access Control Protocol
  • Web Security and Trust Management
  • Fundamental Security Services on Network and Distributed Systems
  • Security and Privacy for Emerging Technologies
  • Big Data Security Protection, Confidentiality, Integrity, and Privacy
  • Next generation 5G/6G Network Security
  • Dependable and Reliable services
  • Assurance/testing and monitoring of security properties
  • Trustworthy/Certified AI/ML
  • Trustworthy AI/ML
  • Certified AI/ML

Track Chairs

Paolo Ceravolo, University of Milan, Italy
Ana Roxin, University of Bourgogne, France
Robert Wrembel, Poznan University of Technology, Poland