Make It Make Semantic Sense: Semantic Strategies for All of Us
summary
Clear, consistent semantic labels power automated conversions so one source turns into PDFs ebooks and websites; real examples include docs written in Asciidoc on GitHub converted with a Jaal-based pipeline for Raspberry Pi and a publisher workflow that uses custom Python scripts to map Word labels to HTML. Advice: separate semantics from design, avoid hand-coding HTML, use light markup with linting, validate labels, and treat AI as an assist for rule-based tagging.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 1:21What is semantics
- 11:08Semantic labels
- 11:39How
- 12:42Questions to Ask
- 19:14Tools
- 21:06Labels
- 23:32Design
- 24:31Schema
- 31:02Questions
related talks
22mStructuring the Unstructured : Empowering the AI Workflows
26mSemantic Kernel: Teaching AI to Not Just Repeat, But Complete!
35mThe practical implementation of Documentation as Code
30mBuild an AI knowledge fabric for your organisation
44mAutomate your software design How far we can get and how the AI chan
47mSemantic Layer: make your data speak with AI without hallucinations
14mAligning Basics of Intelligent Contents for Beginners
24mDocumentation and AI: How to write right now