Generator<\/a> link an example of payload appears on the web page. Refreshing (F5) generates new payloads.<\/p>\n![\"\"](\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/readme.png\")
<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Now the README file of every data model includes a link to the generator of NGSI-LD payloads compliant with the data model. As you can see in the image below there is a new section “Dynamic examples generation” There is the sentence “Link to the Generator of NGSI-LD payloads compliant… More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","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":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],"tags":[],"class_list":["post-2018","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"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":2255,"url":"https:\/\/smartdatamodels.org\/index.php\/ngsi-ld-key-values-service-in-the-readme-of-every\/","url_meta":{"origin":2018,"position":0},"title":"NGSI-LD key values service in the README of every","author":"maestro","date":"03\/05\/2021","format":false,"excerpt":"In the README of every data model now there is a new line in the Dynamic examples section, under the text \"Link to the Generator of NGSI-LD keyvalues payloads compliant with this data model. Refresh for new values\" The link provides an example of a NGSI keyvalues payload with values\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\/2021\/04\/Selection_425.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/Selection_425.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/Selection_425.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/Selection_425.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":32325,"url":"https:\/\/smartdatamodels.org\/index.php\/besser-smart-data-json-schema-generator\/","url_meta":{"origin":2018,"position":1},"title":"BESSER Smart Data JSON Schema Generator","author":"maestro","date":"27\/02\/2026","format":false,"excerpt":"Overview The tool automates the generation of Smart Data Models (SDM) from visual models, bridging the gap between high-level domain design and technical implementation for Digital Twins and IoT ecosystems. Technical Workflow Input: Users define domain entities and relationships using B-UML (a simplified UML dialect) within the BESSER Pearl editor.\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":3037,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-the-resources-for-generating-automatic-examples\/","url_meta":{"origin":2018,"position":2},"title":"Updated the resources for generating automatic examples","author":"maestro","date":"31\/08\/2021","format":false,"excerpt":"Once you have the json schema of a smart Data model there are two services that allow you to generate random payloads compliant with the JSON schema in NGSI-LD. both services are for generating A keyvalues payload A normalized payload these services have been updated and some errors were fixed.\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":2205,"url":"https:\/\/smartdatamodels.org\/index.php\/new-service-generate-a-ngsi-ld-payload-keyvalues-format-compliant-with-a-smart-data-model\/","url_meta":{"origin":2018,"position":3},"title":"New service: Generate a NGSI-LD payload keyvalues format compliant with a Smart Data Model","author":"maestro","date":"28\/04\/2021","format":false,"excerpt":"There is a new service for users, which is the ability to generate an example payload compliant with a specific data model in key values format. Previously it was available the normalized format. Options are located in the main menu (Generate NGSI examples) NGSI-LD normalized format NGSI-LD keyvalues format","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\/2021\/04\/NGSI_examples-150x150.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":703,"url":"https:\/\/smartdatamodels.org\/index.php\/drafting-service-for-creation-of-automatic-payloads-of-a-smart-data-model\/","url_meta":{"origin":2018,"position":4},"title":"Drafting service for creation of automatic payloads of a Smart Data Model","author":"maestro","date":"08\/10\/2020","format":false,"excerpt":"We are in the way of creating a service for testing purposes for getting payloads according to a data model. The service is under debugging, so it cannot be trusted for production purposes. Let us know issues here In order to access it has to access this URL (https:\/\/smartdatamodels.org\/extra\/payload_generator.php) with\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\/2020\/10\/Selection_157.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1842,"url":"https:\/\/smartdatamodels.org\/index.php\/alpha-version-of-the-service-for-generating-an-ngsi-ld-payload-based-on-a-smart-data-model\/","url_meta":{"origin":2018,"position":5},"title":"Alpha version of the service for generating an NGSI-LD payload based on a Smart Data Model","author":"maestro","date":"03\/03\/2021","format":false,"excerpt":"This is an alpha version (so you can expect errors and not being complete). Use it at your own risk. Please report errors and suggestions at info@smartdatamodels.org Call: https:\/\/smartdatamodels.org\/extra\/ngsi-ld_generator.php Parameters: (Mandatories) schemaUrl: The link to the RAW version of the json schema (see example) email: your email Example: https:\/\/smartdatamodels.org\/extra\/ngsi-ld_generator.php?schemaUrl=https:\/\/raw.githubusercontent.com\/smart-data-models\/dataModel.Streetlighting\/f56f5a7933ab05d7fce1d5adc0847f25a099cdb4\/StreetlightModel\/schema.json&email=alberto.abella@fiware.org Use\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":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2018","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=2018"}],"version-history":[{"count":4,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2018\/revisions"}],"predecessor-version":[{"id":3187,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2018\/revisions\/3187"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=2018"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=2018"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=2018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}