SEMANTiCS 2026 - 22nd International Conference on Semantic Systems

SEMANTiCS 2026 - 22nd International Conference on Semantic Systems explores advances and applications in semantic systems, with a focus on knowledge graphs, machine learning, and AI-driven data technologies across diverse domains.

Key Topics

• Enterprise Knowledge Graphs and Graph Data Management
• Explainable and Interoperable AI
• Semantic Technologies in GLAM and Digital Humanities
• Multimodal Knowledge Graphs and AI-driven Fusion
• Knowledge Engineering and Management Workflows
• Natural Language Processing and Foundation Models
• Linked Data Storage and Graph Databases
• Generative AI and Retrieval-Augmented Generation
• Machine Learning Techniques with Knowledge Graphs
• Reasoning, Rules, and Policy Modeling
• Internet of Things and Real-Time Semantic Processing
• AI for Environmental and Climate Solutions
• Trust, Data Privacy, and Security in Semantics
• Conversational AI using Knowledge Graphs
• Scientific Knowledge Graphs and FAIR Data
• Decentralised and Federated Knowledge Graphs
• Semantic Interoperability and Ontology Alignment
• Terminology and Ontology Management
• Data Quality Assurance and Semantic Provenance
• Legal Technology, Ethics, and Regulatory Compliance
• Applied Semantic Technologies in Biomedicine and Health
• Hybrid AI for Industry 4.0 and Predictive Maintenance
• Semantic Pipelines in Data Science
• Semantic Modeling for Economics and Governance
• Robust and Scalable Semantic Data Systems

Who should Attend

• Knowledge Engineers and Semantic Architects
• AI Researchers and Machine Learning Scientists
• Developers working on Graph Data and Ontologies
• Academic Experts in Digital Humanities and GLAM
• Professionals in Regulatory Compliance and Legal Tech
• Data Scientists exploring Semantic Applications
• Biomedical and Environmental Informatics Experts
• Government and Public Sector Technology Officers
• IoT and Real-Time Systems Developers
• Enterprise Architects and Innovation Strategists
• Open Science and FAIR Data Advocates
• Semantic Web and Linked Data Practitioners