In the context.jsonld of every subject there are long IRI for every first-level attribute and for the names of the entities. See this example.
formerly the link of the attributes took you to an existing web page while the links of the entities take you nowhere. Strictly there is not need to take anywhere, however, it would be useful to create such pages with basic information. Now there are also links to the entities’ pages, where a new page is being created. See this example.
Now all of them have their own page with these sections
0.- Make a local copy in your google account and grant permission the first time you use it (it warns you that it is not validated by google, true, but anyhow go to advance and grant the permissions
1.- Include your example in json key values
2.- Include the name of the data model, its title, the subject, and the description together with your email
3.,- Describe the attributes, their NGSI type, their data type, and the written description.
We have noticed an error in the description of the attribute location in the file common-schema.json, a file that is embedded in most of the data models. It does not affect the data types (so the validation of the schemas is not affected) but it affects the qualification of the NGSI type that it is not properly identified,
GeoProperty is written with capital middle P.
The file has been updated and soon it will be launched an update of all the data models affected.
There is a new subject – Verifiable Credentials – in the Cross-Sector domain, with 5 data models derived from those at EBSI. Minor changes to be adapted as standard data models. Due to the fact that they are used only in key-values format the examples are only in this format. The @context defined has been removed because they are implicit attributes in NGSI-LD.
Check the derivedFrom metadata in every schema.json file to get to the EBSI source.
New options for pysmartdatamodels package. There are a new element in he tools menu to access the pysmartdatamodels package, its documentation, or a code example.
Some of the data models available are generated according to some ontologies (like dataModels.OSLO). The @context provided for the subject includes IRIs with the smartdatamodels by default, however, the use of official ontologies can be required.
In order to allow this the file notes_context.jsonld was created and also included in the contribution manual (seection 1.5 slide 23).
– The README include now the basic documentation of each function
New function to load in a dictionary all subjects and their data models, with their repository link, and related domains
New function to load in a dictionary all the attributes in every data model including name of the property, data type, NGSI type, description, units, et
python package pysmartdatamodels
pip install pysmartdatamodels
MasterSheet
Create your simple data model with this sheet(it creates a copy) video help
download all announcements
26-11-24. updated dataqualityassessment data model
26-11-24. Fix an issue with the service for generating ngsi-ld examples
19-11-24. Update the context links in subject datamodel.ERA
24-10-24. updated the process of certificate generation
14-10-24. Updated with new properties in airqualityobserved
10-09-24. Updated the basic infor documentation with a new profile. Incumbent.
06-09-24. New version of Streetlight data model