{"id":3399,"date":"2021-11-26T17:04:50","date_gmt":"2021-11-26T16:04:50","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=3399"},"modified":"2021-11-26T17:04:50","modified_gmt":"2021-11-26T16:04:50","slug":"new-ontology-mapped-gsma","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-ontology-mapped-gsma\/","title":{"rendered":"New ontology mapped: GSMA"},"content":{"rendered":"

GSMA in their Iot Big data project has created an ontology for mapping some of the elemtens in the data models.<\/p>\n

Now in the folder<\/p>\n

data-models<\/a> > context<\/a> -> ontologies_files<\/a> ->gsma.json<\/a> you have the file you can use with the external @context generator service<\/a> in the main menu.<\/p>\n

\"Wikidata-spacecraft-ontology-2017-05-11\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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. More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[105,107,109,113,115,119,117,88,143,111,125,182],"tags":[],"class_list":["post-3399","post","type-post","status-publish","format-standard","hentry","category-cross-sector","category-smart-cities","category-smart-energy-domain","category-smart-environment","category-smart-manufacturing","category-smart-robotics","category-smart-water","category-smart-sensoring","category-smartaeronautics","category-smart-agrifood","category-smartdestinations","category-smarthealth"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":6680,"url":"https:\/\/smartdatamodels.org\/index.php\/new-customization-option-for-context\/","url_meta":{"origin":3399,"position":0},"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 "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":7863,"url":"https:\/\/smartdatamodels.org\/index.php\/sargon-ontology-available-for-mapping-with-smart-data-models\/","url_meta":{"origin":3399,"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 "Smart Energy domain"","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":3412,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-in-smart-aeronautics-domain-unmanned-aerial-vehicles-new-data-model\/","url_meta":{"origin":3399,"position":2},"title":"New Subject in Smart Aeronautics domain: Unmanned Aerial Vehicles. New data model.","author":"maestro","date":"29\/11\/2021","format":false,"excerpt":"Thanks to the relationship with IoT Big Data project of the GSMA organization now there is a new subject dataModel.UnmannedAerialVehicle for allocating new data models related to Unmanned Aerial Vehicles. The subject is located in this repository. Several data models will be included soon. The first is UnmannedAerialVehicle. UnmannedAerialVehicle. This\u2026","rel":"","context":"In "SmartAeronautics"","block_context":{"text":"SmartAeronautics","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smartaeronautics\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1451,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-waternetwork-datamodels\/","url_meta":{"origin":3399,"position":3},"title":"Updated waternetwork datamodels","author":"maestro","date":"26\/01\/2021","format":false,"excerpt":"The 8 data models in the repository dataModel.WaterNetworkManangement in the Smart Water domain have been updated to be aligned with the shared properties of GSMA commons in the shared properties common-schema.json.. This change does not affect the existing data models but with the extensions of these elements. \u00a0","rel":"","context":"In "Smart Water Domain"","block_context":{"text":"Smart Water Domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-water\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2130,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-smart-metering-observation\/","url_meta":{"origin":3399,"position":4},"title":"New Data model Smart Metering Observation","author":"maestro","date":"21\/04\/2021","format":false,"excerpt":"A new data model for the device subject capable of allocating payloads of power consumption. In the subject datamodel.Device. SmartMeteringObservation. This entity contains a harmonized description of a Smart Meter Observation, generally applicable for Smart Homes, Industry, Cities, and Agriculture. It is based mostly on the GSMA entity definition but\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":32569,"url":"https:\/\/smartdatamodels.org\/index.php\/use-smartdatamodels-in-your-local-ai-agent-with-this-mcp-server\/","url_meta":{"origin":3399,"position":5},"title":"Use smartdatamodels in your local AI agent with this MCP server","author":"maestro","date":"16\/03\/2026","format":false,"excerpt":"With this MCP configuration file you will be capable to use Smart Data Models locally in your AI agent. { \"mcpServers\": { \"smartdatamodels\": { \"type\": \"http\", \"serverUrl\": \"https:\/\/opendatamodels.org\/mcp\/v1\" } } } More information here These functions are available 1. search_data_models Search the Smart Data Models (SDM) catalog by keyword, domain\u2026","rel":"","context":"In "Cross Sector"","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\/2022\/01\/SmartDataModels_logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/3399","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=3399"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/3399\/revisions"}],"predecessor-version":[{"id":3400,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/3399\/revisions\/3400"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=3399"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=3399"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=3399"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}