There is a new data model WasteWaterPlant in the WasteWater subject
- WasteWaterPlant. Data model for waste water treatment plant.
There is a new data model WasteWaterPlant in the WasteWater subject
In the root of every subject in the Smart Data Models program there is a file named
context.jsonld (example from environment subject)
It compiles long IRI for every term in the subject (But for those which are general terms).
their URLs match this pattern “https://smartdatamodels.org/ ‘subject’Â / term”
e.g. “aqiMajorPollutant”: “https://smartdatamodels.org/dataModel.Environment/aqiMajorPollutant”
Now all of them are existing pages with basic information about the term.
https://smartdatamodels.org/dataModel.Environment/aqiMajorPollutant
GSMA in their Iot Big data project has created an ontology for mapping some of the elemtens in the data models.
Now in the folder
data-models > context -> ontologies_files ->gsma.json you have the file you can use with the external @context generator service in the main menu.
A new data model has been published in the dataModel.WasteWater subject belonging to the Smart Water domain.
It is coming from the project FIWARE4WATER.
In the right part of the screen, the last widget logs some of the minor changes that happen on a daily basis in the Smart Data Models Program.
Most of them are thanks to the contributors and people who raise issues in the repositories of the data models.
Only the last ten will be available but if you want the full story you can download the file.
The new service for the generation of externally referenced @context has now available the mapping of the 13 SAREF ontologies.
Check them out in the ontologies_files directory in the data-models repo.
If you want to use data models coming from several subjects you will have to merge (somehow) their @contexts.
In this first step, we offer you a service that allows you to choose what subjects you need to merge and to generate the @context.
See the instructions on the page. Now in Main menu -> @context -> Generate a local context
It also provides you with the conflicts in the attributes’ names, in order to let you solve them manually.
In the next step, possibly next week, you will have another service that will allow you to choose what reference ontologies and vocabularies you want to use and replace the Smart data models IRIs with those coming from these external sources.
The local @context, used by NGSI-LD users of the platform has now taken into account those generic terms which are in the commons-schema.json at the root.
In fact, there is a @context based on these terms named common-context.jsonld.
So, the common terms have an IRI with this pattern https://smartdatamodels.org/term that in most cases is taking you to an actual page with some information about the term.