Semantic Data Europe 2026 brings together knowledge and information professionals to explore how taxonomies, ontologies, semantic layers, and knowledge graphs are being applied in practice to deliver measurable business value.
As organisations increase their use of automation, analytics, and AI, the need for well-structured, governed, and interoperable data has never been greater. This one-day conference focuses on real-world implementation, practical methodologies, and lessons learned from operational environments.
2026 Theme: From Semantics to Solutions: Real-World Impact of AI-Ready Data
Industry experts will share case studies and implementation approaches demonstrating how semantic technologies are making data usable across systems, teams, and AI initiatives.
Topics Covered:
>> Semantic layer technologies and implementation strategies
>> Taxonomy development and ontology enhancement
>> Knowledge graphs in production environments
>> NLP, machine learning, and AI use cases supported by semantic data
>> Evolving roles and skills for data and information professionals
>> Cross-sector case studies (retail, utilities, pharma and more)
Who Should Attend:
- Information Professionals
- Data Managers and Data Leaders
- Knowledge Organisers
- Data & Information Architects
- DAM Managers
- Taxonomists and Ontologists
As organisations increase their use of automation, analytics, and AI, the need for well-structured, governed, and interoperable data has never been greater. This one-day conference focuses on real-world implementation, practical methodologies, and lessons learned from operational environments.
2026 Theme: From Semantics to Solutions: Real-World Impact of AI-Ready Data
Industry experts will share case studies and implementation approaches demonstrating how semantic technologies are making data usable across systems, teams, and AI initiatives.
Topics Covered:
>> Semantic layer technologies and implementation strategies
>> Taxonomy development and ontology enhancement
>> Knowledge graphs in production environments
>> NLP, machine learning, and AI use cases supported by semantic data
>> Evolving roles and skills for data and information professionals
>> Cross-sector case studies (retail, utilities, pharma and more)
Who Should Attend:
- Information Professionals
- Data Managers and Data Leaders
- Knowledge Organisers
- Data & Information Architects
- DAM Managers
- Taxonomists and Ontologists
