There is a new data model for the parsing of data coming from Modbus devices into a NGSI-LD system.
It is compliant with the Modbus_Application_Protocol_V1.1b3
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 -> Metadata of the data models
The information is coded in a json format and includes:
| subject | |
| data model | |
| version of the data model |
|
| modelTags | |
| title | |
| url to $id of the schema |
|
| description of the data model |
|
| required attributes |
|
| yamlUrl link to the yaml version of the schema |
|
| jsonSchemaUrl link to the json schema (single-sourc-of-truth) |
|
| @context link to the context file |
|
| exampleKeyvaluesJson link to the NGSI v2 key values example (json) |
|
| exampleKeyvaluesJsonld link to the NGSI ld key values example (jsonld) |
|
| exampleNormalizedJson link to the NGSI v2 normalized example |
|
| exampleNormalizedJsonld link to the NGSI ld key values example |
|
| sql export in SQL of the attributes of the data model |
|
| adopters List of adopters of the data model |
|
| contributors List of contributors of the subject where is the data model |
Enjoy!
4 of the python scripts that are used to maintain the Smart Data models have been released.
Use them or study it at your own convenience. Glad to receive comments and improvements
Check them out here:
FIWARE Foundation has joined the “Metaverse Standards Forum” The Metaverse Standards Forum is a non-profit, member-funded consortium of standards-related organizations, companies, and institutions that are cooperating to foster interoperability for an open and inclusive metaverse.
The Smart Data Models initiative is willing to contribute to those standards with all its data models to enable its use in the metaverse.
We are thrilled to announce the latest update to pysmartdatamodels Python package, version 0.6.3, featuring a new function: generate_sql_schema()This addition enabling seamless generation of SQL schemas with just a few lines of code!
Introducing generate_sql_schemqa() Function:
With the new function, generate_sql_schemqa()Â pysmartdatamodels simplifies the process of creating SQL schemas for your data models by providing as input the model.yaml representation of a Smart Data Model.
The Korean translation of the specifications has been incorporated. Therefore every specification folder now it has a new file spec_KO.md with the Korean translation.
See an example:
Also the specification is linked from the README.md file at the front of every data model.
We provide a service to Generate a PostgreSQL schema SQL script from the model.yaml representation of a Smart Data Model.
You can access this service under this link following Tools > SQL service.
You need to provide as input the standard GitHub link to the model.yaml file or the raw version GitHub link.
We provide a service to generate JSON schemas from the example payloads you provide. This service is designed to assist contributors who may have limited experience with JSON schemas but with actual examples. You can access the service through this link.
We are pleased to announce that we have made some updates to this service::
Please feel free to try it out and leave your comments on info@smartdatamodels.org.
We have introduced several new sections in the README.md for all the smart data models that we’ve published
These are:
Such as in the data model WeatherForecast:
Hope you find it useful and feel free to make your comments on info@smartdatamodels.org.
DCAT-AP is, possibly, the most relevant standard of a catalogue of datasets (even resources as well). A data spaces’ data models’ building block needs a semantic catalogue of resources in DCAT-AP format.
Here you have the beta version of a service providing a DCAT-AP catalogue containing all semantic resources of Smart Data Models.
You just connect to this URL and you can get it. It will be updated once a day and whenever a data model is published.
You can also reach it at home -> tools -> DCAT-AP catalog (last option)
As long as the catalogue and its structure can be enriched I’d like to hear from you any comments / additions and critics you wish / need at info@smartdatamodels.org
So you can enrich it before the official release
