# Bridging Knowledge, Data, and AI
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## Overview Authors: This is a preview of subscription content, [log in via an institution](https://wayf.springernature.com/?redirect_uri=https%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2F978-3-032-17178-8%3Ferror%3Dcookies_not_supported%26code%3Dc1a6695c-36ea-45bd-99c5-7928b7cc4f53) to check access. ## Access this book [Log in via an institution](https://wayf.springernature.com/?redirect_uri=https%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2F978-3-032-17178-8%3Ferror%3Dcookies_not_supported%26code%3Dc1a6695c-36ea-45bd-99c5-7928b7cc4f53) eBook EUR 46.00 Price includes VAT (France) Softcover Book EUR 40.61 EUR 58.01 Discount applied Price includes VAT (France) Tax calculation will be finalised at checkout ## Other ways to access [Licence this eBook for your library](https://single-ebooks.springernature.com/search?query=10.1007/978-3-032-17178-8) [Institutional subscriptions](https://www.springernature.com/gp/librarians/licensing/agc/ebooks) ## About this book 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. ## Reviews “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) ## Authors and affiliations - ### Suite 500, Enterprise Knowledge LLC, Arlington, USA Joseph Hilger, Lulit Tesfaye - ### Suite 500, Enterprise Knowledge, LLC, Arlington, USA Zachary Wahl ## About the authors **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. ## Accessibility information ### PDF accessibility summary This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, keyboard-friendly links and forms, and searchable, selectable text. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility Please Note that a more accessible version of this eBook is available as an EPUB. ### EPUB accessibility summary This EPUB is designed with accessibility in mind, aiming to meet the EPUB Accessibility 1.1 and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility ## Bibliographic information - Book titleBridging Knowledge, Data, and AI - Book subtitleHarnessing the Semantic Layer Framework to Drive Intelligence - DOIhttps://doi.org/10.1007/978-3-032-17178-8 - PublisherSpringer Cham - eBook packages [Professional and Applied Computing](https://link.springer.com/search?facet-content-type=%22Book%22&package=12059&facet-start-year=2026&facet-end-year=2026), [Professional and Applied Computing (R0)](https://link.springer.com/search?facet-content-type=%22Book%22&package=43716&facet-start-year=2026&facet-end-year=2026) - Copyright informationThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2026 - Softcover ISBN978-3-032-17177-1Published: 08 May 2026 - eBook ISBN978-3-032-17178-8Published: 07 May 2026 - Edition number1 - Number of pagesXIX, 223 - Number of illustrations67 b/w illustrations - Topics [Computer Applications](https://link.springer.com/search?facet-sub-discipline=Computer%20Applications&facet-content-type=Book), [Artificial Intelligence](https://link.springer.com/search?facet-sub-discipline=Artificial%20Intelligence&facet-content-type=Book), [IT in Business](https://link.springer.com/search?facet-sub-discipline=IT%20in%20Business&facet-content-type=Book), [Knowledge Management](https://link.springer.com/search?facet-sub-discipline=Knowledge%20Management&facet-content-type=Book) 1. Suite 500, Enterprise Knowledge LLC, Arlington, USA [↩](#fnref:1) 2. Suite 500, Enterprise Knowledge LLC, Arlington, USA [↩](#fnref:2) 3. Suite 500, Enterprise Knowledge, LLC, Arlington, USA [↩](#fnref:3)
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