Intelligence Semantics of 2025

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Last Updated - May 12, 2025

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ACM Books

Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, Rdfs, and Owl (ACM Books)

9.7

Exceptional

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Value for Money

2

O'Reilly Media

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

9.4

Excellent

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3

Irreplaceable Publishing

Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work and Life

9.3

Excellent

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4

Independently published

Theoretical Foundations for Semantic Cognition in Artificial Intelligence

9.2

Excellent

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5

O'Reilly Media

AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

38% Off

9.1

Excellent

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6

Morgan Kaufmann

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

25% Off

8.9

Very Good

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7

Flatiron Books

A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going

14% Off
8.7

Very Good

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8

Oxford University Press

The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities

10% Off

8.6

Very Good

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9

Packt Publishing

Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications

25% Off

8.5

Good

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10

College Publications

Proof-theoretic Semantics

8.3

Good

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Intelligence Semantics of 2025

1

Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, Rdfs, and Owl (ACM Books)

2

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

3

Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work and Life

4

Theoretical Foundations for Semantic Cognition in Artificial Intelligence

5

AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

6

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

7

A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going

8

The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities

9

Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications

10

Proof-theoretic Semantics

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Intelligence Semantics of 2025

1

Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, Rdfs, and Owl (ACM Books)

2

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

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Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work and Life

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Theoretical Foundations for Semantic Cognition in Artificial Intelligence

5

AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

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Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

7

A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going

8

The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities

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Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications

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Proof-theoretic Semantics

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On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines

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Artificial Intelligence: The Insights You Need from Harvard Business Review (HBR Insights Series)

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The AI Workshop: The Complete Beginner's Guide to AI: Your A-Z Guide to Mastering Artificial Intelligence for Life, Work, and Business—No Coding Required

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Programming Collective Intelligence: Building Smart Web 2.0 Applications

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A Semantic Web Primer, third edition (Information Systems)

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