Category: SmartAeronautics

Metadata of the catalogue available

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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:

Enjoy!

New scripts released

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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:

Joining the Metaverse Standards Forum

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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.

 

New pysmartdatamodels package 0.6.3 Release

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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()  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.

Korean translation available for all data models

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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.

New service: Export you data models to SQL schema

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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.

Update: Generate the schema out of your payload

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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::

  • Added support for generating sub-property descriptions
  • Fixed the bug of duplicated property generation

Please feel free to try it out and leave your comments on info@smartdatamodels.org.

New Sections in README

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We have introduced several new sections in the README.md for all the smart data models that we’ve published

These are:

  • Links to CSV extensions of example payloads
  • Links to SQL schema
  • Services we designed to help self-contribution

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 catalogue service in beta version

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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

New data models ProcessQueue, QueueType, TerminalAreaLocation, TerminalFacility, ZoneAreaLocation

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New data models for the passenger waiting list are mapped in the ACRIS subject from Smart Aeronautics domain.

  • PassengerQueue. Property. Information about the Passenger Party Queue. A line of people waiting to pass through the security checkpoint process.

  • QueueType. Property. Information about the type of a Passenger Queue. Values can be: Pre-Check, Private, Economy, Priority, KnownCrewMember.

  • TerminalAreaLocation. Property. The geospatial or geopolitical location of an Airport Terminal building.

  • TerminalFacility. Property. Information about an Airport Terminal as buildings or infrastructure used to provide services.

  • ZoneAreaLocation. Property. The geospatial or geopolitical location of a Queuing Zone in a Terminal.

Split Airport new terminal main hall