The Wire
Mapping the seed corpus: where the water industry's suppliers cluster ◇ Desalination past the 100-million-m³/day mark: what the project data shows ◇ Tracker: China's water agenda — reuse mandates, sponge cities, leakage targets ◇ EU adopts recast Urban Wastewater Treatment Directive ◇ Beyond capture: PFAS destruction technologies move from lab to field ◇ India's Jal Jeevan Mission passes three-quarters of rural households connected ◇ US EPA finalizes first national PFAS drinking-water standards ◇ Thames Water crisis deepens as shareholders withhold new equity ◇
The Connective Tissue · Knowledge Graph

A water graph, built exactly like Wikidata.

The knowledge graph is not 'Wikidata-inspired' — it is the Wikidata architecture: it runs Wikibase, with the identical data model, entity JSON, RDF mapping and SPARQL query stack, seedable from Wikidata and round-trippable back to it.

Phase-1 graph operational — permanent public SPARQL host pending

The canonical Wikibase Suite is implemented and verified at Phase-1 scale: 19,482 Atlas records are projected from 20,000 completed Wikidata frontier imports, statements retain Wikibase references/qualifiers/ranks, and all 18 Appendix-G.7 compatibility tests pass — including live federation with Wikidata. The root JSON/RDF dump is temporarily quarantined while legacy treatment-facility coordinates undergo the current location-policy audit; hosting WDQS at the permanent public graph concept URI also remains an infrastructure action.

The compatibility contract

Same softwareMediaWiki + Wikibase Repository via Wikibase Suite
Same data modelItems (Q), Properties (P), statements, qualifiers, references, ranks
Same serializationWikibase entity JSON, byte-identical to Special:EntityData
Same query stackSPARQL via WDQS; wd:/wdt:/p:/ps: namespaces; federation with live Wikidata
Same toolingpywikibot, WikidataIntegrator, OpenRefine, QuickStatements — unchanged
Symmetric licensingStructured data CC0 1.0 both ways — clean import and give-back

Query it like Wikidata

Any SPARQL query written for Wikidata runs here after a prefix swap. A single federated query can join the WaterAtlas graph with Wikidata's live endpoint — the strongest possible substantiation of 'source of truth'.

SPARQL (local verified; public hostname pending)
# Membrane makers in Asia, with their Wikidata twin
PREFIX wa:  <https://wateratlas.ai/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>

SELECT ?company ?label ?qid WHERE {
  ?company wa:P60 "02.1" ;          # WICS: RO/NF elements
           wa:P3   wa:Q_asia ;       # country in Asia
           rdfs:label ?label ;
           wa:P17  ?qid .            # Wikidata QID (mapping)
}

Open datasets

Quarterly CC0 releases will also be mirrored to Hugging Face and Kaggle so canonical water data propagates into training corpora and back into Wikidata (§8.5).

Open Data & Knowledge Graph · WaterAtlas