Yevgen`s official homepage
Yevgen Somochkin
"ΞΣΣΘ"
CTO ESSO.DEV
Building the Future of AI, Automation & Web3 | Full-stack & DevOps Architect | Scalable, Data-driven Web & Mobile Apps
Hamburg, Germany
A shared vocabulary for what a business is
Every discovery platform reinvents its own category list, and no two of them agree, which is how Friseursalon, hair salon and
shop=hairdresserThe classification layer under Mapko and Botkontor was pulled out into its own repo, licensed MIT and published as a standard, instead of staying a table in one company's database.
NACE Rev.2 (Eurostat) as the statistical backbone, OpenStreetMap tags as the community vocabulary, Schema.org LocalBusiness subtypes for markup, Wikidata QIDs as cross-lingual anchors. Nothing was copied from Google, Yelp or Foursquare, and that was deliberate, because the point is that anyone can use this without asking permission from anyone.
23 root categories → 353 subcategories → 1,333 service templates, each with names and synonyms in EN / UK / DE / RU. Templates carry typed attributes (price, duration, enums), an OSM tag at the most specific level that actually applies, and trigger/anti-trigger hints an LLM classifier can use to tell a neighbouring service apart from the one it is looking at.
Real Linked Data: SKOS concepts in JSON-LD, one file per node, 1,711 dereferenceable @ids under taxonomy.mapko.net/v1/ served as application/ld+json, with a sitemap so crawlers can find them. Follow an @id and you get the node, not a 404.
Shared vocabulary on top, a public business graph in the middle, and per-tenant private memory underneath that never leaves its tenant. Mapko and Botkontor are the first consumers; the vocabulary is deliberately not theirs alone.
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