The Sex Toy Ontology began with a deceptively simple question: what would it take to describe this product domain clearly and consistently?
The vocabulary around products, materials, anatomy, compatibility, intended use, and safety is often fragmented. The same idea may be described differently by manufacturers, retailers, educators, and customers. Important information can also be difficult to compare across catalogs.
Why ontology engineering helps
An ontology makes the concepts and relationships explicit. It can distinguish between a product’s physical properties, intended uses, material constraints, and safety information instead of treating everything as an unstructured product description.
This is technically interesting, but it also requires care. The model should be inclusive without becoming vague, precise without becoming clinical, and useful without making assumptions about the people using it.
From model to product
I am developing the ontology as more than a vocabulary exercise. A semantic foundation could support better search, catalog interoperability, explainable recommendations, and clearer product information.
The KISS AI demo is an early step toward testing how that structured knowledge can become an accessible product experience. The ontology and interface are still evolving, and I expect the most useful improvements to come from combining technical evaluation with feedback from people who understand the domain from different perspectives.