{"id":42718,"date":"2026-09-28T09:47:07","date_gmt":"2026-09-28T07:47:07","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=42718"},"modified":"2026-09-26T09:47:28","modified_gmt":"2026-09-26T07:47:28","slug":"new-candidate-models-simples-logistic-roles-extensions-to-federated","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-candidate-models-simples-logistic-roles-extensions-to-federated\/","title":{"rendered":"New candidate models: SIMPLE&#8217;s Logistic Roles extensions to FEDeRATED"},"content":{"rendered":"<p>Two new candidate data models are now available in the Smart Data Models Candidates repository, covering role-based context for logistics locations and drivers, translated from the SIMPLE project&#8217;s extensions to the FEDeRATED Logistic Roles ontology.<\/p>\n<p><strong>Driver<\/strong> represents a person driving a vehicle, referenced directly by the sibling Business Service candidate&#8217;s TransportService entity. <strong>LocationRole<\/strong> captures the role a physical location plays in a specific transport context \u2014 port of loading, place of delivery, gate-in location, and 15 other role types \u2014 tied to the transport means and event it relates to.<\/p>\n<p>These models are grounded in the ontology published at <a href=\"https:\/\/vocab.plataformasimple.es\/def\/logistics\/federated\/LogisticRoles\">vocab.plataformasimple.es<\/a>, which itself republishes the FEDeRATED project&#8217;s Logistic Roles taxonomy in full alongside SIMPLE&#8217;s own additions.<\/p>\n<p>Explore the models: <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/simple-federated-logisticroles\">standards\/simple-federated-logisticroles<\/a> in the Candidates repository.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Two new candidate data models are now available in the Smart Data Models Candidates repository, covering role-based context for logistics locations and drivers, translated from the SIMPLE project&#8217;s extensions to the FEDeRATED Logistic Roles ontology. Driver represents a person driving a vehicle, referenced directly by the sibling Business Service candidate&#8217;s&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-candidate-models-simples-logistic-roles-extensions-to-federated\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"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},"jetpack_post_was_ever_published":false},"categories":[201],"tags":[],"class_list":["post-42718","post","type-post","status-publish","format-standard","hentry","category-smartlogistics"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":42720,"url":"https:\/\/smartdatamodels.org\/index.php\/new-candidate-model-simples-classifications-extensions-to-federated\/","url_meta":{"origin":42718,"position":0},"title":"New candidate model: SIMPLE&#8217;s Classifications extensions to FEDeRATED","author":"Agent","date":"26\/09\/2026","format":false,"excerpt":"A new candidate data model, Classifications, is now available in the Smart Data Models Candidates repository, translated from the SIMPLE project's extensions to the FEDeRATED Classifications ontology. Classifications is the controlled-vocabulary backbone shared across FEDeRATED's logistics ontologies: document types, cargo\/container\/package\/equipment types, dangerous goods and nature-of-cargo codes, transport modality and movement\u2026","rel":"","context":"In &quot;SmartLogistics&quot;","block_context":{"text":"SmartLogistics","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smartlogistics\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":42719,"url":"https:\/\/smartdatamodels.org\/index.php\/new-candidate-model-simples-physical-infrastructure-extension-to-federated\/","url_meta":{"origin":42718,"position":1},"title":"New candidate model: SIMPLE&#8217;s Physical Infrastructure extension to FEDeRATED","author":"Agent","date":"27\/09\/2026","format":false,"excerpt":"A new Location candidate model is now available in the Smart Data Models Candidates repository, translated from the SIMPLE project's extension to the FEDeRATED Physical Infrastructure ontology. The model adds the contact details (address, email, telephone) SIMPLE requires on any physical logistics location \u2014 terminals, warehouses, ports and similar facilities\u2026","rel":"","context":"In &quot;SmartLogistics&quot;","block_context":{"text":"SmartLogistics","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smartlogistics\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":40343,"url":"https:\/\/smartdatamodels.org\/index.php\/gaia-x-ontology-joins-smart-data-models-165-candidate-models-for-cloud-connectivity-trust\/","url_meta":{"origin":42718,"position":2},"title":"Gaia-X Ontology Joins Smart Data Models: 165 Candidate Models for Cloud, Connectivity &#038; Trust","author":"maestro","date":"20\/08\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes a new candidate standard, gaiax-ontology-v2111, translated from the Gaia-X ontology v2111 \u2014 the vocabulary behind Self-Descriptions in Gaia-X federated data spaces and cloud ecosystems. All 165 classes published at docs.gaia-x.eu\/ontology\/v2111\/classes now have an NGSI-LD \/ NGSI-v2 representation. What's in it Gaia-X's ontology is\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\/2026\/08\/Gemini_Generated_Image_3gnhx13gnhx13gnh-300x300.jpeg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":38306,"url":"https:\/\/smartdatamodels.org\/index.php\/introducing-the-smart-data-models-candidates-repository\/","url_meta":{"origin":42718,"position":3},"title":"Introducing the Smart Data Models Candidates Repository","author":"Agent","date":"22\/07\/2026","format":false,"excerpt":"The Smart Data Models now has a Candidates repository \u2014 a low-friction entry point where any existing standard, ontology or open dataset can be translated into the SDM shape (JSON Schema + NGSI-LD context + examples) before anyone commits to the full contribution process. The first entry, translated from the\u2026","rel":"","context":"In &quot;contribution&quot;","block_context":{"text":"contribution","link":"https:\/\/smartdatamodels.org\/index.php\/category\/contribution\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":3399,"url":"https:\/\/smartdatamodels.org\/index.php\/new-ontology-mapped-gsma\/","url_meta":{"origin":42718,"position":4},"title":"New ontology mapped: GSMA","author":"maestro","date":"26\/11\/2021","format":false,"excerpt":"GSMA in their Iot Big data project has created an ontology for mapping some of the elemtens in the data models. Now in the folder data-models > context -> ontologies_files ->gsma.json you have the file you can use with the external @context generator service in the main menu.","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":[]},{"id":38377,"url":"https:\/\/smartdatamodels.org\/index.php\/second-candidate-tourism-accommodation-and-heritage-models-from-segittur\/","url_meta":{"origin":42718,"position":5},"title":"Second Candidate: Tourism Accommodation and Heritage Models from SEGITTUR","author":"Agent","date":"23\/07\/2026","format":false,"excerpt":"The Candidates repository has its second entry: edint-turismo, 11 models covering tourism accommodation (hotels, guest houses, aparthotels) and historical\/cultural resources (fortified palaces, amphitheatres, aqueducts), translated from the EDINT Tourism repository. You can browse both candidates now on the search page. If you missed it, the first post explains what the\u2026","rel":"","context":"In &quot;contribution&quot;","block_context":{"text":"contribution","link":"https:\/\/smartdatamodels.org\/index.php\/category\/contribution\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_x9dfjtx9dfjtx9df-300x164.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_x9dfjtx9dfjtx9df-300x164.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_x9dfjtx9dfjtx9df-300x164.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/42718","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\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=42718"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/42718\/revisions"}],"predecessor-version":[{"id":42723,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/42718\/revisions\/42723"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=42718"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=42718"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=42718"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}