Bridging Knowledge, Data, and AI: Harnessing the Semantic Layer Framework to Drive Intelligence - Softcover

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Joseph Hilger has over 30 years of experience leading and implementing cutting-edge, enterprise-scale IT projects. He was an early pioneer in the use of Agile techniques for knowledge management systems design, implementation, and integrations projects. Joe is an expert in implementing enterprise-scale graph, search, and data analytics solutions. In addition to his role as COO of Enterprise Knowledge, he is a speaker and instructor on topics including enterprise search, graphs, and AI. Joe is the coauthor of Making Knowledge Management Clickable, published by Springer in 2022.

 Lulit Tesfaye brings close to 20 years of experience leading strategy and delivery for enterprise knowledge and data programs across diverse sectors. She founded the Semantic Data and AI Engineering Practices, spearheading the adoption of semantic standards, knowledge graphs, and AI integration in organizational information strategies. Lulit is a published expert, keynote speaker, and educator, serving on advisory boards for industry organizations and iSchool/data management programs at various universities.

Zachary Wahl has over 25 years of experience leading programs in the knowledge and information management space. Early in his career, he defined the business taxonomy concept to address the need for human-centered taxonomy designs, a formative element of today’s advanced semantic solutions. He has worked with hundreds of public and private organizations in over forty countries to successfully strategize, design, and implement advanced KM and semantic solutions. In addition to his role as CEO of Enterprise Knowledge, he is a frequent speaker and facilitator on the combination of KM, semantics, and AI. Zach is the coauthor of Making Knowledge Management Clickable, one of the leading books on knowledge management strategy and design.

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This book provides a practical solution to one of the most persistent challenges in modern organizations - unlocking the full value of organizational knowledge and data to drive alignment, collaboration, and innovation. It details the Semantic Layer Framework - a unified model that integrates proven design principles, enabling technologies, and tested methodologies into a cohesive solution. Rather than treating knowledge, data, information, and content as discrete concepts, the framework unites them as an interconnected strategic architecture. It helps organizations build shared understanding, streamline decisions, scale innovation, and enable reliable AI. Uniting the fields of knowledge management, data management, information management, and AI engineering, the book draws on real-world case studies to show how semantic components (taxonomies, ontologies, metadata, glossaries, and knowledge graphs) can be combined to form a scalable, AI-ready framework aligned with real business needs.

“As some of the most trusted and influential voices in the world of enterprise semantics, the authors bring a level of clarity and discipline to this topic that our industry has desperately needed for a long time.”  

Malcolm Hawker

Chief Data Officer (CDO), Profisee 

“AI will not reach its potential in the enterprise without a strong Semantic Layer. This book shows why — and more importantly, how — to build it. It’s a roadmap for organizations that want to move fast, reduce complexity, and scale AI with confidence.”

Jean-Claude Monney

Hybrid Intelligence Strategy Advisor, The Monney Group LLC

Former Microsoft Chief Knowledge Officer

“This book serves as a guide to fully understanding what a Semantic Layer is, the complexities of its creation, ways organizations can utilize it effectively, and strategies for evolving and refining a Semantic Layer over time. I'm confident this book will soon be regarded as the definitive guide—maybe even the bible—for anyone working with Semantic Layers.”

Liam Fahey

Partner at The Leadership Forum