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

Author:   Joseph Hilger ,  Lulit Tesfaye ,  Zachary Wahl
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032171771


Pages:   223
Publication Date:   08 May 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Bridging Knowledge, Data, and AI: Harnessing the Semantic Layer Framework to Drive Intelligence


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Author:   Joseph Hilger ,  Lulit Tesfaye ,  Zachary Wahl
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032171771


ISBN 10:   3032171776
Pages:   223
Publication Date:   08 May 2026
Audience:   Adult education ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Chapter 1. Understanding the Semantic Layer.- Chapter 2. Semantic Layer Component Design and Implementation.- Chapter 3. Methodologies for Designing and Integrating the Semantic Layer.- Chapter 4. Real World Success Stories.- Chapter 5. Powering Artificial Intelligence and Beyond.

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Author Information

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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