{"product_id":"b0hc9rs5ft","title":"AI NATIVE - KNOWLEDGE GRAPHS: Designing Knowledge Maps \u0026 Knowledge Graphs (The AI-Native Series)","description":"\u003cp\u003eYour AI is only as smart as the knowledge you feed it. Most AI projects do not fail for lack of data or a stronger model. They fail because the knowledge layer underneath was built in disarray: retrieval pulls the wrong material, near-identical concepts get conflated, and the system invents answers that merely sound plausible.  Knowledge Architecture  shows you how to fix that at the root — by designing the knowledge maps and knowledge graphs that every RAG pipeline, agent, and decision engine ultimately rests on.\u003c\/p\u003e\n\n\u003cp\u003eThis is not a book to read for information; it is a book to work through. Every chapter opens with clear objectives and closes with a self-assessment quiz and answer key.\u003c\/p\u003e\n\n\u003cp\u003eAfter working through this book, you will be able to:\u003cbr\u003e\nDiagnose why AI projects fail at the knowledge layer, and tell apart four constantly confused artefacts:  taxonomy, ontology, knowledge graph, and knowledge map\u003cbr\u003e\nApply the  Five Pillars  — Direction, Concept Structure, Relationships \u0026amp; Inference, Context \u0026amp; Quality, Evolution \u0026amp; AI-Readiness — behind every design decision\u003cbr\u003e\nChoose the right approach from  fifteen construction methods  using a decision tree, then run the full  seven-step design process  on your own problem\u003cbr\u003e\nWork fluently with the in-depth toolkit: ontology design guide, knowledge graph design guide, metadata \u0026amp; taxonomy framework, and a library of  100+ relationship patterns\u003cbr\u003e\nConnect structured knowledge into RAG, agent, and decision-engine pipelines — turning a knowledge graph into a direct feed for downstream AI systems\u003cbr\u003e\nComplete  two end-to-end projects : a reinsurance knowledge graph and a K–12 education knowledge graph, then score your own map against quantitative criteria\u003c\/p\u003e\n\n\u003cp\u003eInside the book\u003cbr\u003e\nThe DIKW gap: why abundant data still leaves you with scarce, unusable knowledge\u003cbr\u003e\nThree early symptoms of a poor knowledge map — and how to spot them in your own system\u003cbr\u003e\nA decision tree for picking among fifteen knowledge-map construction methods\u003cbr\u003e\nDesign checklists with 100+ criteria, a glossary, cheat sheets, and ready-to-use templates for developers, business analysts, and AI engineers\u003cbr\u003e\nCommon anti-patterns and a quantitative framework for assessing knowledge map quality\u003c\/p\u003e\n\n\u003cp\u003eWho this book is for:  software architects, AI engineers, data professionals, and business analysts building RAG systems, AI agents, or enterprise knowledge platforms — and anyone who wants their AI to  know what matters .\u003c\/p\u003e\n\n\u003cp\u003eTwo messages run through the book: there is no absolutely correct knowledge map, only a map that fits its purpose; and investing in upstream knowledge structure is the highest-multiplier investment you can make in an AI-native system.\u003c\/p\u003e\n\n\u003cp\u003eBook 2 in the AI-Native Architecture series. Works as a standalone volume.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":67924512080117,"sku":"YSL52824","price":5.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/8774\/8597\/files\/919_9y-A9kL._SY1500.jpg?v=1793673103","url":"https:\/\/www.newbooks.store\/products\/b0hc9rs5ft","provider":"NewBooks","version":"1.0","type":"link"}