There is 1 new data model coming from the collaboration with the GreenMov project. This is a mapping of the OSLO ontology for Personal transport hubs
They are located at the OSLO subject.
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In order to create a new data model or to update an existing one, Check your schema before contributing it, to check the schema on the front page.
The service has been updated to check not only the attributes of the payload but also the schema metadata (schema version, license, derivedFrom, title, description) so it will be easier to complete it before submission.
The code is available at the directory utils in the data-model repository.
Here you can have the presentation of the people presenting at the Smart Data Models session of the FIWARE summit.
| 1.- | Fernando Lopez (FIWARE Foundation) | SDMX towards context information: achieving interoperability |
| 2.- | David Garcia (NTT Data) | Public resources monitoring and management through innovative solutions based on extension of smart data models |
| 3.- | Mannix manglani (Mannixonline) | TOURISM DATA MODELS |
| 4.- | Alberto Abella (FIWARE Foundation) | Water data models |
| 5.- | Antonino Sirchia (Engineering) | How FIWARE and Smart Data Models can make a City resilient on Flooding Risks |
| 6.- | Romain Magnani (EGM) | The NGSI-LD data lab: an engaging interface for building NGSI-LD data configuration |
| 7.- | Clara Pezuela (ATOS) | GreenMov: Green and smart mobility services |
| 8.- | Andrea Cruciani.(FIWARE SmartAgriFood MSC ) | Agrigateway |
| 9.- | Hugo Miguel Serra (Deloitte) | Smart Buildings data models |
Tomorrow at day 0 of the FIWARE summit there will be a training session about Smart Data Models.
Slides are freely shared here
This training will be delivered face to face.
The ETSI standardization body has just published a new version of the NGSI-LD standard. This is the API standard implemented by the FIWARE components.
The specification can be downloaded from this link.
Some changes are:
Vessel is a new data model of the subject Marine Transport that is the first one of the new domain Smart Logistics.
Thanks to the I4Trust project
The Manifesto for Agile Standardization (MAS) describes the 7 principles that we apply to the Smart Data Models program.
0. Don't just standardize, be agile and standardize 1. Do not reinvent the wheel 2. Normalize real cases 3. Be open 4. Don't be overly specific 5. Flat not Deep 6. Sustainability is key
If you want to read the agile standardization manifesto’s complete explanation a one-page document is located at the root of our data models repository.
Not all changes in the data models are reported with a blog post, Twitter dissemination o LinkedIn post. But if you notice there is a widget in the right part of the front page (scroll down till Announcements) where these tiny changes are reported (see the image or browse the front page).
Most of them are issues, suggestions or PR solved thanks to the collaboration of the community. They make the data models better for all.
We cannot say thanks individually to all of them but please feel our gratitude.
You can download all of the tiny annoncements from this simple text file.
Just thanks
There is a new subject, dataModel.OSLO, for the mapping of the OSLO ontology for mobility.
A new data model BicycleParkingStation is also available there.
This is also an outcome of the collaboration with the GreenMov project.
There are 3 new data models coming from the collaboration with the GreenMov project.
They are located at the Environment subject.
TrafficEnvironmentImpact. Environmental Impact of traffic based on the vehicles traffic and their emission characteristics
TrafficEnvironmentImpactForecast. Environmental Impact of traffic based on the vehicles’ traffic expectations and their emission characteristics
