{"id":43130,"date":"2026-10-18T00:02:03","date_gmt":"2026-10-17T22:02:03","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=43130"},"modified":"2026-10-15T00:04:30","modified_gmt":"2026-10-14T22:04:30","slug":"saref4city-saref4inma-join-smart-data-models-35-candidate-models-for-smart-cities-and-manufacturing","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/saref4city-saref4inma-join-smart-data-models-35-candidate-models-for-smart-cities-and-manufacturing\/","title":{"rendered":"SAREF4CITY & SAREF4INMA Join Smart Data Models: 35 Candidate Models for Smart Cities and Manufacturing"},"content":{"rendered":"

Smart Data Models’ Candidates repository<\/a> now includes two more ETSI SAREF<\/strong> extensions: saref4city<\/code><\/strong> and saref4inma<\/code><\/strong>, together contributing 35 candidate models<\/strong>. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context<\/code>, and all four example serializations \u2014 validated against its own schema.<\/p>\n

SAREF4CITY \u2014 14 models<\/h2>\n

SAREF4CITY<\/a> (ETSI TS 103 410-4, Oct 2024) is aimed at city administrations and smart-city platform builders who need a common, IoT-friendly vocabulary instead of yet another bespoke city data schema. It handles the “one KPI, many measurements” problem distinctly well: a general KPI definition (e.g. “road congestion”) is kept separate from its individual timestamped\u00a0 ssessments, so historical values accumulate cleanly under one stable definition. It also gives city topology (countries \u2192 cities \u2192 districts \u2192 neighbourhoods, spatially linked via GeoSPARQL) a reusable shape, and models public services with who provides them, who uses them, where, and in what languages \u2014 directly reusing the EU’s own ISA\u00b2 Core Public Service Vocabulary rather than reinventing it.<\/p>\n\n\n\n\n\n\n\n\n\n
Category<\/th>\nModels<\/th>\n<\/tr>\n<\/thead>\n
Topology \/ geo<\/td>\nAdministrativeArea<\/code>, CityObject<\/code>, Facility<\/code>, plus City<\/code>, Country<\/code>, District<\/code>, Neighbourhood<\/code><\/td>\n<\/tr>\n
Agents & organizations<\/td>\nAgent<\/code>, PublicAdministration<\/code><\/td>\n<\/tr>\n
Events & accessibility<\/td>\nEvent<\/code>, AccessibilityConcept<\/code><\/td>\n<\/tr>\n
KPIs<\/td>\nKeyPerformanceIndicator<\/code>, KeyPerformanceIndicatorAssessment<\/code><\/td>\n<\/tr>\n
Services<\/td>\nPublicService<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4city<\/a><\/p>\n

SAREF4INMA \u2014 21 models<\/h2>\n

SAREF4INMA<\/a> (ETSI TS 103 410-5) targets factory operators, equipment vendors, and supply-chain software vendors who need to trace a manufactured item back to the exact production equipment, batch, raw material, and timestamp that produced it \u2014 both inside the factory and after the item has shipped. It gives semantic interoperability between heterogeneous\u00a0 roduction-equipment vendors and a standard vocabulary for item\/batch\/material traceability, aligned with Industry 4.0 reference architectures and IEC 62264’s factory\/site\/area\/work-center location model.<\/p>\n\n\n\n\n\n\n\n\n
Category<\/th>\nModels<\/th>\n<\/tr>\n<\/thead>\n
Identifier hierarchy<\/td>\nID<\/code>, GTIN8ID<\/code>, GTIN12ID<\/code>, GTIN13ID<\/code>, GTIN14ID<\/code>, IRDI<\/code>, UUID<\/code><\/td>\n<\/tr>\n
Products \/ materials<\/td>\nItem<\/code>, ItemBatch<\/code>, ItemCategory<\/code>, MaterialBatch<\/code>, MaterialCategory<\/code>, Batch<\/code>, Size<\/code><\/td>\n<\/tr>\n
Production equipment<\/td>\nProductionEquipment<\/code>, ProductionEquipmentCategory<\/code>, ProductionEquipmentFunction<\/code><\/td>\n<\/tr>\n
Factory\/location hierarchy<\/td>\nFactory<\/code>, Site<\/code>, Area<\/code>, WorkCenter<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

All 21 examples are drawn from, and cross-consistent with, the single worked “shaver manufacturing” scenario in the ETSI spec’s own clause 4.3 \u2014 so a reader can trace one shaver’s full genealogy across every model.<\/p>\n

https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4inma<\/a><\/p>\n

Translation notes<\/h2>\n