Kitchen Semantics, Part II

2026-05-29 · Source: Intentional Arrangement · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Novice, quick

Summary

Kitchen Semantics, Part II outlines a tutorial for building and integrating a food ontology using a public food ontology from the OBO Foundry. This process, estimated to take approximately two hours, involves utilizing a text editor and standard web browser tools to integrate the ontology with existing "kitchen ttl" and vocabulary files. The tutorial requires a pre-existing working "kitchen ttl" file, which is developed in the "Kitchen Semantics Part I" tutorial. Part I focuses on constructing a SKOS RDF kitchen vocabulary, a task that also takes about two hours, and utilizes tools such as a spreadsheet, a converter, a SPARQL playground, and a working LLM, with an overall completion time of roughly one afternoon.

Key takeaway

For data scientists or AI students interested in personal semantic data management, this tutorial demonstrates that building a functional food ontology doesn't require complex software installations. You can integrate a public food ontology with your "kitchen ttl" and vocabulary files in about two hours using just a text editor and web browser tools. Consider starting with Part I to establish your SKOS RDF kitchen vocabulary, then proceed to Part II for integration.

Key insights

Build and integrate a food ontology using common tools and public resources.

Principles

• Ontology development can be achieved with accessible tools.
• SKOS RDF is suitable for kitchen vocabulary.

Method

Integrate a public food ontology (OBO Foundry) with existing "kitchen ttl" and vocabulary files using a text editor and web browser tools.

In practice

• Construct a personal food ontology.
• Integrate custom vocabulary files.

Topics

• Ontology Engineering
• Semantic Web
• RDF
• SKOS
• Food Ontology
• Data Integration
• Tutorial

Best for: AI Engineer, Data Scientist, AI Student

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• A Pythonic Functional Approach for Semantic Data Harmonisation in the ILIAD Project — A Pythonic functional approach simplifies semantic data harmonisation by abstracting complex Semantic Web standards into familiar Python functions.
• Demystifying SKOS for Practitioners: A Practical Guide to Controlled Vocabularies — SKOS provides a standard data model for interoperable knowledge organization systems, crucial for semantic data and information sharing.
• Language is the Bridge — Shared language and explicit linguistic scaffolding are essential for making LLMs and ontologies actionable and trustworthy.

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