Bridging Knowledge, Data, and AI

Beschreibung

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

The semantic layer framework is the practical combination of core technologies and best-in-practice design principles that deliver a framework connecting all of an organization's knowledge assets in context and with the greatest accuracy. It combines elements from data, information, and knowledge management in order to enable the reliable (re)use of an organization’s assets. 

This book guides the reader through every element of the semantic layer, from its core definition and business value, associated components and design requirements, methodological keys to success, realworld success stories and applications, and finally, through its relationship with AI. The book is divided into five parts. “Chapter I: Understanding the Semantic Layer” defines the semantic layer, explains its value, and details business outcomes and potential areas of return on investment. “Chapter II: Semantic Layer Component Design and Implementation” breaks the semantic layer down into its core components (knowledge assets, business glossary, metadata, taxonomy, and knowledge graph) defining each, explaining their role in the semantic layer, discussing associated technologies, and delving into the modeling of these components. “Chapter III: Methodologies for Designing and Integrating the Semantic Layer” delivers a step-by-step guide to the design and implementation of a semantic layer, covering a range of best practices to ensure the success of an initiative. “Chapter IV: Real-World Success Stories” expands on various real-world examples, presenting case studies from a range of organizations that have successfully implemented a semantic layer and detailing the use cases, approaches, and outcomes. Finally, “Chapter V: Powering Artificial Intelligence and Beyond” covers the interrelationship between the semantic layer framework and AI, elaborating on the ways in which these two fields can mutually benefit one another and concluding with a look into the future on how mature organizations are evolving their semantic ecosystems to drive responsible AI adoption and further competitive capabilities. 

This book is intended for practitioners seeking to implement the semantic layer within their own organization, for those interested in learning how to do so, as well as for executives or business stakeholders that may find themselves overseeing such a program.

Autor*in

Joseph Hilger

Themen in »Bridging Knowledge, Data, and AI«

semantic information systems semantic layer ontologies knowledge management taxonomies knowledge graphs data modeling artificial intelligence information systems architecture

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“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.  It offers what most enterprises still lack: a rigorous, business-defined semantic layer that unifies data, content, and organizational meaning, rather than the metrics-oriented abstractions too often mislabeled as “semantic.”  The authors confront a hard truth that many leaders overlook: no amount of investment in warehouses, fabrics, or meshes will overcome the semantic fragmentation that undermines analytics and renders AI initiatives ineffective. For data leaders intent on closing the widening gap between AI aspiration and AI performance, this book is both a necessary corrective and a credible blueprint for the next generation of semantic architecture.” (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)

“The data, knowledge, and AI domains—and endeavors to integrate and unify them—are plagued by ambiguous terminology, frequent misconceptions about their application, and a host of examples where initiatives do not meet their objectives. In response to these challenges, the concept of a Semantic Layer has arisen as a viable solution. 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)

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