Ontology Design and Knowledge Graphs to Power Advanced Semantics
An Exclusive Pre-Conference Training Opportunity
One day ahead of the Semantic Layer Symposium 2025, join EK’s expert instructors for a consolidated, hands-on version of our Knowledge Graph University training.
Previously only available in a multi-day format delivered exclusively for EK’s clients.
During the course of this interactive training, EK’s experts will deliver an in-depth exploration of the semantic layer components, specifically delving into ontology design, knowledge graphs, and their pivotal role in unlocking advanced semantics within enterprise information and data.
Through hands-on exercises, attendees will learn foundational and advanced concepts in ontology design and knowledge graph integration, along with practical applications to improve data interoperability and enhance enterprise systems such as advanced search, content personalization, and power AI-driven applications like chatbots and recommendation engines. The training will examine the practical implementation of semantic technologies, using real-world case studies to illustrate how knowledge graphs can be leveraged for data transformation and integration.
What You Will Learn
During this interactive training, EK’s experts will cover key concepts and best practices, including:
Fundamentals of Knowledge Graphs & Ontology Design
Understanding taxonomies, ontologies, and RDF-based models.
Semantic Web Standards & Tools
Practical application of RDF, OWL, SKOS, SPARQL, and SHACL validation.
Building & Implementing Knowledge Graphs
Hands-on exercises to model, integrate, and query semantic data.
AI & Machine Learning Integration
Leveraging semantic inference, auto-tagging, and graph machine learning techniques.
Use Cases & Business Applications
Exploring real-world implementations across industries, from advanced search solutions to customer and employee 360-degree views.
Who Should Attend
Organizational leaders looking to enhance information and data insights and decision-making through data standards and semantics.
Data Scientists and Engineers involved in AI, machine learning, and data modeling initiatives.
Knowledge and Data Managers seeking to understand how ontologies and knowledge graphs drive business value.
IT Professionals interested in implementing and managing semantic technologies.
Business Outcomes
Build a Reliable Data Foundation
Learn to design scalable and adaptive Semantic Layers that evolve with business needs and support advanced solutions.
Optimized Decision-Making
Learn how to structure and interpret data for improved business intelligence.
Accelerate Implementation
Gain hands-on experience to apply knowledge graphs and ontologies within your own organization.
About the Workshop
Overview
| Section | Module | Objectives |
|---|---|---|
| Semantic Layer Fundamentals: Toolkit for Product Design, Modeling, and Technical Enablement | Semantic Layer Fundamentals | Understand the components of the semantic layer and how they solve for enterprise use cases. |
| Introduce the Semantic Layer Maturity Model and understand how organizations can evolve their semantic layer capabilities over time. | ||
| Common Use Cases and Business Applications | See success stories of implementing semantic layer solutions within different industries and learn how to scope and vision products supported by semantic layer. | |
| Modeling Approaches | Explore various types of semantic models (e.g., taxonomies, ontologies, graph schemas) and their key characteristics. | |
| Understand the Semantic Web Standards frameworks and their applications. | ||
| Technical Approaches | Examine common architectures, approaches for implementation, and AI & machine learning integration. | |
| Maturity Benchmark and Operating Models | Understand typical program models and identify skillsets required to effectively engage with the organization. | |
| Building a Semantic Layer Design and Launch a Semantic Solution using enterprise use case simulation | Breakout #1: Use Case Definition and Visioning | Develop a holistic product vision that bridges business needs with technical approaches. |
| Breakout #2: Design & Modeling | Apply practical design approaches for user experiences, semantic models, and solutions architecture. | |
| Breakout #3: Implementation and Enablement | Develop an implementable model for the prioritized use case and build an actionable implementation plan for scale. | |
| Takeaways & Review Plan for Day of Symposium | Reflect on lessons learned and how these apply to your organization, walking away with actionable resources to help your organization develop a semantic layer. |
Meet Your Instructors!
Lulit Tesfaye
Partner and Vice President for Knowledge & Data Services
Enterprise Knowledge, LLC.
Lulit Tesfaye is a Partner and the Vice President for Knowledge & Data Services at Enterprise Knowledge, LLC., the largest global consultancy dedicated to Knowledge and data management. Lulit brings over 15 years of experience leading diverse knowledge, information and data management initiatives, specializing in technologies and integrations. She established EK’s Knowledge Graph University, an educational offering designed to provide training and resources for organizations interested in understanding, building, and leveraging knowledge graphs. Lulit is a thought leader in employing advanced Enterprise AI and semantic capabilities for optimizing enterprise data and information assets.
Sara Mae O’Brien-Scott
Semantic Design & Modeling Practice Lead
Enterprise Knowledge, LLC.
Sara Mae O’Brien-Scott is the Semantic Design & Modeling Practice Lead at Enterprise Knowledge, LLC., specializing in taxonomy, ontology and knowledge graph design and implementations. Sara Mae understands information to be a critical asset, and is passionate about using semantic technologies to help organizations better leverage this asset. With extensive industry experience and familiarity with leading many Knowledge Graph Universities, she excels at developing relationships, values collaboration, and drives innovation. She approaches data and information management as a systems thinker, and designs solutions informed by user and business needs.
Sara Nash
Principal Consultant of Semantic Engineering
Enterprise Knowledge, LLC.
Sara Nash is a Principal Consultant of Semantic Engineering. She specializes in Semantic Layer and Enterprise AI initiatives, leading throughout strategy, design, and implementation. Sara has led taxonomy/ontology design, knowledge graph implementation, recommendation engine solutions, and advanced analytics platforms across financial services, pharmaceuticals, ESG consulting, workforce enablement, and more. She is an experienced facilitator with a proven track record of leading impactful trainings and workshops across diverse organizations, fostering actionable design and upskilling for business executives, data engineers, and architects alike.
Workshop Details
Location: Nimb Hotel, Copenhagen (inside Tivoli Gardens)
Date: 30th September 2025 (one day before the Semantic Layer Symposium)
Duration: Full-day Interactive Session, 9:00 to 17:00 CEST
Workshop Registration
Workshop registration is separate from the main symposium but can be bundled for a combined experience. Limited seats available.