{"id":7863,"date":"2022-12-14T12:25:05","date_gmt":"2022-12-14T11:25:05","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=7863"},"modified":"2022-12-14T12:25:05","modified_gmt":"2022-12-14T11:25:05","slug":"sargon-ontology-available-for-mapping-with-smart-data-models","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/sargon-ontology-available-for-mapping-with-smart-data-models\/","title":{"rendered":"Sargon ontology available for mapping with Smart Data Models"},"content":{"rendered":"

There is a service for mapping any smart data models with one (or several) external ontologies<\/a>. Now the SARGON<\/a> ontology 1.0 for energy is available for this mapping.<\/p>\n

The Sargon mapping<\/a> file is located in the ontologies_files<\/a> folder ad the umbrella repository data-models<\/a>.<\/p>\n

The description of SARGON<\/a> is below.<\/p>\n

SARGON<\/a> ( SmArt eneRGy dOmain oNtology<\/em> ) is an open-source effort to define semantic descriptions of the smart assets<\/b> in building automation and smart grid and the relationships between them<\/b>. SARGON consists of an extensible dictionary<\/b> of terms and concepts in and around buildings and smart grids, a set of relationships for linking and composing concepts together, and a flexible data model<\/b> permitting seamless integration of SARGON with existing tools and databases. Through the use of powerful Semantic Web technology, SARGON can describe the broad set of Devices and custom features, assets and subsystems found across the building stock in a consistent matter.<\/p>\n

\"\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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… 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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[109],"tags":[],"class_list":["post-7863","post","type-post","status-publish","format-standard","hentry","category-smart-energy-domain"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":3399,"url":"https:\/\/smartdatamodels.org\/index.php\/new-ontology-mapped-gsma\/","url_meta":{"origin":7863,"position":0},"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 "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":6680,"url":"https:\/\/smartdatamodels.org\/index.php\/new-customization-option-for-context\/","url_meta":{"origin":7863,"position":1},"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":6783,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-mapping-oslo-ontology-in-a-new-subject\/","url_meta":{"origin":7863,"position":2},"title":"New data model mapping OSLO ontology in a new subject","author":"maestro","date":"26\/08\/2022","format":false,"excerpt":"There is a new subject, dataModel.OSLO,\u00a0 for the mapping of the OSLO ontology for mobility. A new data model BicycleParkingStation is also available there. BicycleParkingStation. Bicycle Parking Station Schema meeting Passenger Transport Hubs AP Schema specification This is also an outcome of the collaboration with the GreenMov project. \u00a0 \u00a0","rel":"","context":"In "Smart Cities domain"","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/08\/logo_GreenMov-300x95-1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":8552,"url":"https:\/\/smartdatamodels.org\/index.php\/7-new-data-models-mapped-from-saref4bldg-ontology\/","url_meta":{"origin":7863,"position":3},"title":"7 new data models mapped from SAREF4BLDG ontology","author":"maestro","date":"14\/04\/2023","format":false,"excerpt":"The new subject datamodel.S4BLDG is 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 \u2013 A holistic Digital Twin platform for decision-making support over the whole building life cycle. DuctSilencer. A duct silencer is a device that\u2026","rel":"","context":"In "Smart Cities domain"","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":8570,"url":"https:\/\/smartdatamodels.org\/index.php\/5-new-data-models-mapped-from-saref4bldg-ontology\/","url_meta":{"origin":7863,"position":4},"title":"5 new data models mapped from SAREF4BLDG ontology","author":"maestro","date":"20\/04\/2023","format":false,"excerpt":"The new subject datamodel.S4BLDG is 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 \u2013 A holistic Digital Twin platform for decision-making support over the whole building life cycle. EvaporativeCooler. An evaporative cooler is a device that\u2026","rel":"","context":"In "Smart Cities domain"","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":7180,"url":"https:\/\/smartdatamodels.org\/index.php\/resource-report-data-model-mapped-from-oslo-ontology-at-greenmov-project\/","url_meta":{"origin":7863,"position":5},"title":"Resource report data model mapped from OSLO ontology at GreenMov project","author":"maestro","date":"22\/09\/2022","format":false,"excerpt":"There is 1 new data model coming from the collaboration with the GreenMov project. This is a mapping of the OSLO ontology for Personal transport hubs They are located at the OSLO subject. Resource Report. Resource Report Schema meeting Passenger Transport Hubs AP Schema specification. 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