{"id":7547,"date":"2022-11-07T17:27:01","date_gmt":"2022-11-07T16:27:01","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=7547"},"modified":"2022-12-14T17:54:15","modified_gmt":"2022-12-14T16:54:15","slug":"new-data-model-wasteobserved-in-the-wastemanagement-subject","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-wasteobserved-in-the-wastemanagement-subject\/","title":{"rendered":"New data model WasteObserved in the WasteManagement Subject"},"content":{"rendered":"<p>There is a new data model, <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.WasteManagement\/tree\/master\/WasteObserved\">WasteObserved<\/a>, coming from the collaboration with Digipolis Antwerpen (Digipolis.be) to detect waste loads. Published in the subject <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.WasteManagement\">WasteManagement<\/a>.<\/p>\n<ul>\n<li><span class=\"pl-s\">This entity models a single collection of Waste.<\/span><\/li>\n<\/ul>\n<p><a title=\"ProtoplasmaKid, CC BY-SA 4.0 &lt;https:\/\/creativecommons.org\/licenses\/by-sa\/4.0&gt;, via Wikimedia Commons\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Cami%C3%B3n_de_basura_-_Ciudad_de_M%C3%A9xico.jpg\"><img decoding=\"async\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/thumb\/a\/a6\/Cami%C3%B3n_de_basura_-_Ciudad_de_M%C3%A9xico.jpg\/512px-Cami%C3%B3n_de_basura_-_Ciudad_de_M%C3%A9xico.jpg\" alt=\"Cami\u00f3n de basura - Ciudad de M\u00e9xico\" width=\"512\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>There is a new data model, WasteObserved, coming from the collaboration with Digipolis Antwerpen (Digipolis.be) to detect waste loads. Published in the subject WasteManagement. This entity models a single collection of Waste. <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-data-model-wasteobserved-in-the-wastemanagement-subject\/\">More&#8230;<\/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":[107,113],"tags":[],"class_list":["post-7547","post","type-post","status-publish","format-standard","hentry","category-smart-cities","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":3479,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-wastewaterplant-in-wastewater-subject\/","url_meta":{"origin":7547,"position":0},"title":"New data model WasteWaterPlant in WasteWater subject","author":"maestro","date":"16\/12\/2021","format":false,"excerpt":"There is a new data model WasteWaterPlant in the WasteWater subject WasteWaterPlant. Data model for waste water treatment plant.","rel":"","context":"In &quot;Smart Water Domain&quot;","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":1744,"url":"https:\/\/smartdatamodels.org\/index.php\/extended-data-model-for-greenspacerecord\/","url_meta":{"origin":7547,"position":1},"title":"Extended data model for GreenSpaceRecord","author":"maestro","date":"23\/02\/2021","format":false,"excerpt":"The data model for GreenSpaceRecord in the Subject Parks and Gardens has been extended with the property litterCoverage: Percentage of the surface covered with litter or other waste materials","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":2482,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-datamodel-dcat-ap-for-connection-with-open-data-portals-catalogue-data-model\/","url_meta":{"origin":7547,"position":2},"title":"New subject dataModel.DCAT-AP for connection with open data portals. Catalogue data model.","author":"maestro","date":"28\/05\/2021","format":false,"excerpt":"There is a new subject into Cross Sector domain for mapping the DCAT-AP 2.0.1 standard into smart data models. This is the standard for catalogs and other elements to be shared from open data portals. See the specification of this standard. The first data model is the CatalogueDCAT-AP which has\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":[]},{"id":6852,"url":"https:\/\/smartdatamodels.org\/index.php\/new-domain-smart-logistics-new-subject-marine-transport-and-new-data-model-vessel\/","url_meta":{"origin":7547,"position":3},"title":"New domain Smart Logistics, New subject Marine Transport and new data model Vessel","author":"maestro","date":"01\/09\/2022","format":false,"excerpt":"Vessel is a new data model of the subject Marine Transport that is the first one of the new domain Smart Logistics. Vessel. The data model is intended to provide information about vessels. It allows representing the properties of each vessel: static and dynamic information Thanks to the I4Trust project","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":10263,"url":"https:\/\/smartdatamodels.org\/index.php\/metadata-of-the-catalogue-available\/","url_meta":{"origin":7547,"position":4},"title":"Metadata of the catalogue available","author":"maestro","date":"01\/02\/2024","format":false,"excerpt":"Now in the tools menu (currently the last option) you have a complete list of the most relevant links to the assets of the data models compile in the Smart Data Models initiative. You can check in the main menu -> Tools\u00a0 -> Metadata of the data models The information\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":[]},{"id":10291,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-pysmartdatamodels-package-0-6-4-with-adaptations-to-data-spaces\/","url_meta":{"origin":7547,"position":5},"title":"New version of pysmartdatamodels package 0.6.4 with adaptations to Data Spaces","author":"maestro","date":"26\/02\/2024","format":false,"excerpt":"There is a new version of the python package pysmartdatamodels to use it you have just to type pip install pysmartdatamodels in your system Besides the update in the list of data models it includes two new functions - look_for_data_model that allows approximate searches for a data model based on\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\/2024\/02\/pysmartdatamodels_0.6.4.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7547","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=7547"}],"version-history":[{"count":3,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7547\/revisions"}],"predecessor-version":[{"id":7879,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7547\/revisions\/7879"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=7547"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=7547"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=7547"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}