The conference covers, but is not limited to, the following topics of interest:

Big Data & Data Science

• Big Data Models and Algorithms

•  Big Data Analytics and Metrics

•  Representation Formats for Big Data

•  Big Data Semantics and Knowledge Organization

•  Big Data Architectures

•  Cloud Computing Techniques for Big Data

•  Big Data as a Service

•  Big Data in Mobile and Pervasive Computing

•  Management Issues of Social Network Big Data

•  Big Data Search and Mining

•  Machine Learning/Deep Learning based on Big Data

•  Computational Modeling and Big Data Integration

•  Data Stream Algorithms

•  Data and Information Quality for Big Data

•  High Performance/Parallel Computing Platforms for Big Data

•  Data Acquisition, Integration, Cleaning, and Best Practices

•  Visualization Analytics for Big Data

•  Large-scale Recommendation Systems and Social Media Systems

•  Cloud/Grid/Stream Data Mining-Big Velocity Data

•  Big Data Security, Privacy and Trust

 Internet of things

• IoT Fundamentals

•  IoT Architectures and Platforms

•  Routing and Control Protocols

•  Information Sharing and Interoperability in IoT

•  AI and Machine Learning for the IoT

•  Agent based Computing for IoT

•  Semantic IoT Interoperability and Semantic Mediators

•  Data Analysis and Visualization for Smart City, Green Systems and Transport Systems

•  Edge AI/edge computing

•  Web of Things including Hypermedia Agents for the IoT

•  Sensors Data Management, IoT Mining, and Analytics

•  Resource identification, discovery, and profiling in heterogeneous IoT

•  Cloud Computing and Edge/Fog Computing for IoT

•  Security, Privacy, and Trust for IoT

AI & Web Intelligence

• Ontologies Representation and Reasoning

•  Semantic Data Integration and Ontology Engineering

•  Uncertainty Models for Web Data and Services

•  Data and Knowledge as a Services

•  Semantic and Intelligent Services

•  Web/Data Mining and Machine Learning

•  Natural Language Processing (NLP) algorithms to build Knowledge Graphs

•  Relationship extraction using Natural Language Processing (NLP) and deep learning

•  Knowledge Graphs deep learning for semantic reasoning

•  Semantic reasoning based on semantic technologies or deep learning

•  Recommender Systems and Crowd-sourcing

•  Semantic-based Data Mining and Data Pre-processing

•  Semantic Data Indexing, Search, and Retrieval

•  Linked data management and analytics

•  Web of Things data analytics

•  Distributed Ontologies and Contextual Reasoning

•  Artificial Intelligence and IoT

•  Blockchain analytics and technologies

•  Web-scale security, integrity, privacy and trust

Applications and Tools

• IoT Applications, Services, and Implementations In Enterprise, Agriculture, Education, Industry, and Medicine

•  Smart city applications and services

•  Techniques and methods for post-COVID-19 learning, training and teleworking Technological focus for Smart Environments

•  Semantic, Web-based, and Big Data applications

•  Services and Cloud-based applications

•  IoT and Intelligent Systems applications

•  Novel Applications of IoT in Industry (e.g., medicine, manufacturing, agriculture, business processes, etc.)

•  Monetization services and applications

•  Healthcare and medical applications and services

•  Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication

•  Big Data Analytics in Small Business Enterprises (SMEs)

•  Big Data Analytics in Government, Public Sector and Society in General

•  Real-life Case Studies of Value Creation through Big Data Analytics

Cybersecurity and Networking

• Security Architecture and Technologies

•  Security Management and its automation

•  Attack & Threat Detection

•  DDoS Detection & Mitigation

•  Security Frameworks for Various Applications & Scenarios

•  Access Control Security

•  Security Protocols

•  Security Management and Orchestration of NFV and SDN Elements

•  Software Defined Security

•  Malware Attack Detection and Prevention Techniques

•  Information Sharing and Data Protection

•  Big Data Security and Analytics

•  Intelligent Security Provisioning

•  Trust Collaboration