My upcoming book 🤸‍♂️

2026-05-09 · Source: Intentional Arrangement · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Intermediate, quick

Summary

Jessica Talisman's book, "Ontology Pipeline," is officially set for publication by Technics Publications in September/October 2026. This forthcoming book aims to teach readers how to construct controlled vocabularies, taxonomies, metadata schemas, thesauri, ontologies, and knowledge graphs. Talisman developed the content and tutorials by testing them on her Substack newsletter, "Intentional Arrangement," incorporating reader feedback to refine the how-to guides. To mark the announcement, she is offering a 45% discount on annual Substack subscriptions, reducing the cost to \$3.21/month, available until July 4th. Additionally, Talisman is seeking reader input on the book's spine color, presenting options for a blue or white spine and providing a survey link for feedback. She also announced plans for a second book, "Intentional Arrangement," focusing on knowledge management and infrastructure.

Key takeaway

For semantic engineers or information architects building knowledge infrastructure, Jessica Talisman's "Ontology Pipeline" book offers a structured framework for developing machine-readable systems. You should consider pre-ordering this resource to gain insights into constructing controlled vocabularies, taxonomies, and knowledge graphs. Additionally, engage with the author's Substack for ongoing how-tos and to influence future content, including the upcoming book on knowledge management.

Key insights

The "Ontology Pipeline" framework systematically builds semantic knowledge infrastructures from foundational vocabularies to knowledge graphs.

Principles

• Semantic knowledge infrastructure progresses from simple vocabularies to complex knowledge graphs.
• Reader feedback can refine educational content and practical tutorials.
• Structured frameworks guide the development of machine-readable knowledge systems.

Method

The Ontology Pipeline™ framework involves progressive context-building, moving from controlled vocabularies to taxonomies, thesauri, ontologies, and ultimately fully realized knowledge graphs.

In practice

• Engage readers for content validation and refinement.
• Utilize a structured framework for knowledge system development.
• Consider community input for product design elements like book aesthetics.

Topics

• Ontology Pipeline
• Knowledge Graphs
• Semantic Engineering
• Information Architecture
• Controlled Vocabularies
• Taxonomies

Best for: AI Engineer, AI Architect, AI Student

Related on AIssential

• The Ontology Pipeline™, Refresh — Effective semantic knowledge infrastructure requires a disciplined, sequential approach, augmented by AI and robust governance.
• Language is the Bridge — Shared language and explicit linguistic scaffolding are essential for making LLMs and ontologies actionable and trustworthy.
• The Semantic Medallion: Building a Knowledge Graph-Powered Data Catalog — Transforming the Gold layer of a medallion architecture into a knowledge graph enables semantic data catalogs.
• The Semantic Infrastructure Opportunity: Building Meaningful Operational Frameworks — Semantic infrastructure, especially entity resolution, makes ontology work measurably operational and critical for AI systems.
• What Do You Need to Create a Useful Ontology? — Building effective ontologies requires clear scope, purpose-driven design, and careful selection of semantic tools.
• Formalizing the DATASUS RTS: An Ontological Model for a Resource Description Framework Knowledge Graph — Transforming relational health data into a W3C-compliant knowledge graph improves interoperability and semantic querying.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Intentional Arrangement.