{"id":33153,"date":"2026-04-06T08:26:42","date_gmt":"2026-04-06T06:26:42","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=33153"},"modified":"2026-04-01T18:38:39","modified_gmt":"2026-04-01T16:38:39","slug":"new-data-models-mapping-openstreetmap","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-data-models-mapping-openstreetmap\/","title":{"rendered":"New data models  mapping OpenStreetMap"},"content":{"rendered":"<p>Fifteen new data models from the mapping of <a href=\"https:\/\/www.openstreetmap.org\">OpenStreetMap<\/a> are now available in a new subject <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\">datamodel.OpenStreetMap<\/a><\/p>\n<p>Thanks to the inspiration of <a href=\"https:\/\/www.linkedin.com\/in\/flaviocirillo\/\">Flavio Cirillo<\/a> who currently works for <a href=\"https:\/\/www.nec.com\/\">NEC<\/a> these models are now available, and thanks to the contributors of <a href=\"https:\/\/www.openstreetmap.org\/\">OpenStreetMap<\/a> who created these models that are mapped here in this derivative work.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-33155\" src=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/04\/Gemini_Generated_Image_96c4n296c4n296c4-300x300.png\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/04\/Gemini_Generated_Image_96c4n296c4n296c4-300x300.png 300w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/04\/Gemini_Generated_Image_96c4n296c4n296c4-150x150.png 150w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/04\/Gemini_Generated_Image_96c4n296c4n296c4-768x768.png 768w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/04\/Gemini_Generated_Image_96c4n296c4n296c4-350x350.png 350w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/04\/Gemini_Generated_Image_96c4n296c4n296c4.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>New data models will come shortly for this new subject<\/p>\n<ul>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMAerialway\/README.md\">OSMAerialway<\/a>. An aerial transport or lift from OpenStreetMap tagged with aerialway=*. Describes cable cars, gondolas, chair lifts, and drag lifts<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMAmenity\/README.md\">OSMAmenity<\/a>. A facility or amenity from OpenStreetMap tagged with amenity=*. Represents places of public or private use such as restaurants, schools, hospitals, banks, etc<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMBuilding\/README.md\">OSMBuilding<\/a>. A building or group of connected buildings from OpenStreetMap tagged with building=*. Represents the physical structure of a building, including its geometry, dimensions, materials, and functional classification. For specific functions within a building (shop, amenity, etc.) additional entities should be used.<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMBuildingPart\/README.md\">OSMBuildingPart<\/a>. A part or section of a building from OpenStreetMap tagged with building:part=*. Used to represent buildings with varying heights, roof shapes, or materials across different sections, enabling 3D building visualisation (Simple 3D Buildings standard).<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMCycleRoute\/README.md\">OSMCycleRoute<\/a>. A dedicated cycling infrastructure element from OpenStreetMap. Represents cycle paths, shared cycle lanes, and bike routes tagged with highway=cycleway or cycleway=* on road ways.<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMHighway\/README.md\">OSMHighway<\/a>. A road or path element from OpenStreetMap tagged with the highway key. Represents all types of roads, from motorways to footpaths, as defined by the OSM highway taxonomy.<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMLanduse\/README.md\">OSMLanduse<\/a>. An area of land use from OpenStreetMap tagged with landuse=*. Describes the primary human purpose or use of an area of land<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMLeisure\/README.md\">OSMLeisure<\/a>. A place for leisure, sports, or recreation from OpenStreetMap tagged with leisure=*. Includes parks, sports pitches, swimming pools, stadiums, etc<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMNatural\/README.md\">OSMNatural<\/a>. A natural feature from OpenStreetMap tagged with natural=*. Describes geographical features such as water bodies, woods, scrub, peaks, beaches, etc<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMParkingArea\/README.md\">OSMParkingArea<\/a>. A vehicle parking area or facility from OpenStreetMap tagged with amenity=parking. Represents surface car parks, multi-storey garages, underground facilities, and other organised parking areas.<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMPublicTransportStop\/README.md\">OSMPublicTransportStop<\/a>. A public transport stop, station, platform or boarding point from OpenStreetMap. Represents nodes and areas where passengers board or alight from public transport services, tagged with public_transport=* or specific mode tags.<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMRailway\/README.md\">OSMRailway<\/a>. A railway track or infrastructure element from OpenStreetMap tagged with the railway key. Covers all types of rail infrastructure, from mainline heavy rail to trams, subways and funiculars.<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMShop\/README.md\">OSMShop<\/a>. A shop or retail store from OpenStreetMap tagged with shop=*. Represents establishments selling retail products directly to end customers<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMTourism\/README.md\">OSMTourism<\/a>. A tourist attraction or tourism-related facility from OpenStreetMap tagged with tourism=*. Includes hotels, museums, viewpoints, artworks, etc<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OpenStreetMap\/blob\/master\/OSMWaterway\/README.md\">OSMWaterway<\/a>. A waterway from OpenStreetMap tagged with waterway=*. Describes rivers, streams, canals, drains, and other water courses<\/p>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fifteen new data models from the mapping of OpenStreetMap are now available in a new subject datamodel.OpenStreetMap Thanks to the inspiration of Flavio Cirillo who currently works for NEC these models are now available, and thanks to the contributors of OpenStreetMap who created these models that are mapped here in&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-data-models-mapping-openstreetmap\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[105],"tags":[],"class_list":["post-33153","post","type-post","status-publish","format-standard","hentry","category-cross-sector"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":9128,"url":"https:\/\/smartdatamodels.org\/index.php\/distribution-and-catalogue-from-stat-dcat-ap-new-data-models-published\/","url_meta":{"origin":33153,"position":0},"title":"Distribution and Catalogue from STAT-DCAT-AP new data models published","author":"maestro","date":"21\/06\/2023","format":false,"excerpt":"The mapping of the STAT-DCAT-AP 1.0.1 ha been extended with the mapping of two new classes Distribution and Catalogue in the subject (subject is a group of data models). Thanks to the collaboration with the project INTERSTAT these two models has been mapped. Catalogue. Catalogue of datasets compliant with STAT-DCAT-AP\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/06\/logo_INTERSTAT_Horizontal-300x86.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":7863,"url":"https:\/\/smartdatamodels.org\/index.php\/sargon-ontology-available-for-mapping-with-smart-data-models\/","url_meta":{"origin":33153,"position":1},"title":"Sargon ontology available for mapping with Smart Data Models","author":"maestro","date":"14\/12\/2022","format":false,"excerpt":"There is a service for mapping any smart data models with one (or several) external ontologies. Now the SARGON ontology 1.0 for energy is available for this mapping. The Sargon mapping file is located in the ontologies_files folder ad the umbrella repository data-models. The description of SARGON is below. SARGON\u2026","rel":"","context":"In &quot;Smart Energy domain&quot;","block_context":{"text":"Smart Energy domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-energy-domain\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/12\/sargon.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/12\/sargon.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/12\/sargon.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/12\/sargon.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/12\/sargon.png?resize=1050%2C600&ssl=1 3x"},"classes":[]},{"id":5975,"url":"https:\/\/smartdatamodels.org\/index.php\/mapping-with-core-public-service-vocabulary-uri-available\/","url_meta":{"origin":33153,"position":2},"title":"Mapping with core public service vocabulary URI available","author":"maestro","date":"10\/06\/2022","format":false,"excerpt":"Every data model in the Smart Data Models program can be mapped with external ontologies and there is a service on the main menu to achieve that. See main menu -> @context -> generate an external @context After the publication of data models of CPSV-AP now it is possible to\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"CPSV-AP","src":"https:\/\/i0.wp.com\/ec.europa.eu\/isa2\/sites\/default\/files\/cpsv-ap.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":3000,"url":"https:\/\/smartdatamodels.org\/index.php\/completed-the-mapping-of-dcat-ap-2-0-1-standard-into-smart-data-models-dataservicedcat-ap\/","url_meta":{"origin":33153,"position":3},"title":"Completed the mapping of DCAT-AP 2.0.1 standard into smart data models. DataServiceDCAT-AP","author":"maestro","date":"24\/08\/2021","format":false,"excerpt":"DCAT-AP is the standard for the publication of information in open data portals in the EU and other countries. Based on the 2.0.1 version these data models are mapping the data Service class. In the subject datamodel.DCAT-AP there is one data model, dataServiceDCAT-AP for describing this class, DataServiceDCAT-AP. Data Service\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/08\/dcat-ap_logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":8495,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-mapping-saref-4-buildings-and-3-new-data-models\/","url_meta":{"origin":33153,"position":4},"title":"New subject mapping saref 4 buildings and 3 new data models","author":"maestro","date":"04\/04\/2023","format":false,"excerpt":"There is a new subject datamodel.S4BLDG mapping the data models from SAREF for buildings 1.1.2. Thanks to the contributors Grzegorz Wiszniewski and Jakob Bj\u00f8rnskov t the project Twin4Build - A holistic Digital Twin platform for decision-making support over the whole building life cycle. The original linked data descripton is also\u2026","rel":"","context":"In &quot;Smart Cities domain&quot;","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":6680,"url":"https:\/\/smartdatamodels.org\/index.php\/new-customization-option-for-context\/","url_meta":{"origin":33153,"position":5},"title":"New customization option for context","author":"maestro","date":"18\/08\/2022","format":false,"excerpt":"The Smart Data Models Program does not define canonically and uniquely the terms used in the data models. There are many ontologies and vocabularies providing solutions to this issue. For those users of linked data solutions, every subject includes a context.jsonld file (see example) with long IRI for the terms\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/33153","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=33153"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/33153\/revisions"}],"predecessor-version":[{"id":33158,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/33153\/revisions\/33158"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=33153"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=33153"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=33153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}