The list of data models has been completely changed.
Step 1: write part of the name of data model or repository
Step 2: The table filter the options
Step 3: Click on the name and it takes you directly to the github location you need.
The list of data models has been completely changed.
Step 1: write part of the name of data model or repository
Step 2: The table filter the options
Step 3: Click on the name and it takes you directly to the github location you need.
The multimedia subject, belonging to the cross-sector domain, has been created with this data model:
MediaEvent. Base for all events raised by elements in the media server.
This model works with the components media server and kurento. Kurento Generic Enabler enables real-time processing of media streams supporting the transformation of video cameras into sensors as well as the incorporation of advanced application functions (integrated audiovisual communications, augmented reality, flexible media playing and recording, etc)
4 new data models for datamodel.wasteWater Subject
In order to reduce the work for the contributors of the new data models, there is a new section on the contribution manual title ‘don’t do these’ with recommendations for the most common poor practices in the contribution process.
Although all contributions are welcomed it will save everybody’s time by reading this section once.
Additionally, the section can be improved so you can submit your recommendations/lessons learned here.
The data models of the subject WaterDistributionManagement EPANET have been updated with flow properties and other improvements. New properties are already available for search in the database.
Additionally, there is an alpha version of the German translation of the specification.
You can answer our survey in order to know what more useful for you.
There is a new option in the main menu Data Models -> Contribution Checklist
It is strongly recommended to pass every element before submitting your new data model.
See below the checklist
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 with this data model. Refresh for new values”. By clicking the Generator link an example of payload appears on the web page. Refreshing (F5) generates new payloads.
Now all data models have an interactive specification. (As long as they have examples)
This is the first step to deeper interactive services for every data model contributed.
See the example for weatherForecast.
The file common-schema.json compiles those properties massively used across the different data models in the different domains.
The property userAlias has been included to store those anonymous identifiers of a user that cannot be traced back to the user.
It can be referenced in any data model just by including this code
“userAlias”: {
“$ref” : “https://smart-data-models.github.io/data-models/common-schema.json#/definitions/userAlias”
}