Books

Transform the classic pizza.owl tutorial into a launchpad for cutting-edge semantic engineering! This hands-on guide bridges the gap between theory and practice, showing you exactly how to build ontology-based meta-models and deploy executable knowledge graphs. Master the "Diagramming as Code" methodologies of the Executable Knowledge Architecture (EKA) framework through a continuous, live-updated learning journey.

Dive into 'Node-OPCUA' and explore the world of industrial protocols with the author's proven recipes. Learn how to build exceptional OPC UA clients and servers through hands-on examples, elevating your industrial programming expertise from basic to advanced levels. This guide is key to mastering Node-OPCUA in JavaScript and TypeScript.

You distinguish yourself from others not so much by what you've read, viewed or listened to, but by the lasting impact that information has had upon you. How can you use knowledge to become a more effective person? Cognitive Productivity answers this question with cognitive science and practical strategies.

Real-world advice for adding reliable tests to your Rails apps with the default tools (mostly), complete with expanded, exclusive content and a full sample application. Learn to test with confidence!

A practical guide to AI agent security for enterprise teams. Learn how to secure AI agents in production with bounded autonomy, AgentSecOps, MCP security, RAG governance, identity controls, audit evidence, and regulatory readiness.

This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.

Metagraphs for Agentic AI: Beyond Triples, Beyond HypergraphsFrom Knowledge Graphs to Knowledge ArchitecturesThe triple is not enough.Every AI engineer building agent memory hits the same wall. You model a meeting as a knowledge graph triple — and immediately lose the fact that five people were in the room, a decision was made, and that decision caused three downstream actions. You reify. You flatten. You create workarounds. And your "knowledge graph" becomes a tangle of auxiliary nodes that machines can traverse but no human can reason about.This book shows you the way out. What You'll Learn Metagraphs are graph structures where edges connect sets of nodes to sets of nodes — and where edges themselves can be referenced as first-class nodes. They are the missing data structure for AI agents that need to remember, reason, and coordinate like humans do.This book takes you on a complete journey:Hypergraphs first. You'll learn what they are, why they matter, and where they break down. You'll implement them three ways — in SQL, in LadybugDB (Cypher), and in TypeDB — so you understand the tradeoffs viscerally, not just theoretically.Then metagraphs. You'll see how metagraphs solve the fundamental hypergraph problem (edges that can't be nodes), explore RDF named graphs as a lightweight metagraph, and implement full metagraphs in the same three database paradigms with production-ready, commented code.Then the big ideas. Semantic Spacetime. Holonic systems. Human cognitive architecture mapped to graph structures. Multi-agent coordination. Promise Theory for autonomous AI networks. This is where metagraphs stop being a data structure and become an architecture for intelligence. Who This Book Is For You're a software engineer, AI researcher, or knowledge graph practitioner who builds real systems. You've used Neo4j or RDF stores. You've built RAG pipelines. You've felt the limits. You want to know what comes next.No PhD required. Every concept comes with working code in SQL, Cypher, TypeQL, SPARQL, and Python. What Makes This Book Different This isn't a theoretical monograph. It's the distillation of two and a half years of research, 130+ published articles, and hands-on implementation at the intersection of knowledge graphs and agentic AI.Every chapter bridges theory and practice. You'll read about Basu and Blanning's formal metagraph definition — and then build the schema in PostgreSQL. You'll learn Mark Burgess's Promise Theory — and then model a multi-agent coordination protocol as a six-layer promise graph. You'll understand why labeled property graphs are secretly metagraphs — and what that means for your Neo4j deployment today. 18 Chapters. Three Parts. One Argument. Part I — The Hypergraph Foundation (7 chapters): From the knowledge representation crisis through hypergraph theory to three complete database implementations.Part II — The Metagraph Solution (5 chapters): Metagraphs as the answer, RDF named graphs as a bridge, and three full metagraph implementations with detailed commentary.Part III — Theory Meets Practice (6 chapters): Semantic Spacetime, labeled property graphs, AI memory and human cognition, holonic systems, agent-to-agent interaction, and Promise Graphs for network-of-networks coordination. The Core Thesis If you want AI agents that reason like humans, you need knowledge structures that capture how humans actually organize knowledge — not as flat collections of facts, but as nested, hierarchical, context-rich, temporally-aware structures where relationships themselves carry meaning and can be the subject of further reasoning.Metagraphs are that structure. This book shows you why, and how to build with them.

Most enterprise AI programs do not fail because the model is weak. They fail because the organization cannot operate AI: costs are hidden, ownership is vague, governance is late, vendors create dependency, and production risk is not clearly assigned. This book helps leaders fix the system around the model.

Spring Boot 4 changes everything you thought you knew about building Java applications. Virtual threads make blocking code fast again. Native images deliver instant startup. First-class API versioning finally solves the "how do we evolve our APIs?" problem. But here's the catch: upgrading isn't just a dependency bump. Jakarta EE 11, new auto-configuration patterns, GraalVM constraints, and reactive vs. virtual threads— getting it right requires understanding the *why* behind every change. This book is your production-ready guide to Spring Boot 4 and Spring Framework 7. Written for intermediate developers who need more than "hello world" tutorials. Learn how to: • Build cloud-native microservices that scale • Migrate from Boot 3 safely and incrementally • Design APIs with built-in versioning and resilience • Choose between reactive, virtual threads, and native images • Secure distributed systems with JWT and OAuth2 • Implement observability that actually helps you debug production issues 300+ pages. 27 chapters. Real code. Real architecture. Real problems solved.

Leanpub revenue supports OpenIntro. OpenIntro is a US-based nonprofit that provides textbook services to help increase adoption of OER textbooks and save students money. These textbook services are fully financed by Leanpub contributions on supported books. APEX Calculus website: apexcalculus.comOpenIntro website: openintro.org

What really happens when PostgreSQL executes your query? Follow a SQL statement through every stage of PostgreSQL's internal pipeline—from raw text to returned results—and gain the deep understanding that transforms how you write, tune, and debug database applications.

A scenario-based study guide for the Claude Certified Architect Foundations (CCA-F) exam. Learn to reason like an architect across all five domains, then prove it on two full practice exams.

The hardest part of building AI is not the model. It is everything around it. The Art of Harness Engineering is a practical guide to the systems, processes, and controls that turn AI prototypes into production-ready products. Covering testing, guardrails, observability, governance, and more, it provides a blueprint for building AI systems that users can trust and organizations can operate with confidence.

Architektur-Reviews ermöglichen Dir Schwächen und Potenziale von Softwarelösungen herauszuarbeiten, Entscheidungen abzusichern und Verbesserungsmaßnahmen zu bewerten. Dieses Buch bringt Dir leichtgewichtige Reviews näher, die Du nach der Lektüre alleine oder in einem kleinen Team direkt durchführen kannst!

Your hard skills landed you the management position, but it’s your soft and management skills that will drive your success. Numerous books cover architecture and processes, "Amazing CTO" stands out as the essential guide for managing effectively, authored by influential CTO Coach Stephan Schmidt.