Outdoor Pressure Knowledge Graph (ODO) encodes into a graph model different information needed to discover and reuse data to study the impact of recreational activities in the French Alps. It reuses classes and properties from the more generic Geodata Knowledge Graph and introduces new elements to represent information ranging from digital assets such as data sources and processes (see concepts on the right of the figure 1) to real-world phenomena they represent (see concepts on the left part of the figure 1).
See Documentation for more information.
ODO design is task-driven. Nodes and edges are gradually created to support specific tasks within INTFOROUT project. These tasks are then showcased through predefined queries in a dedicated software companion. See Sham-Wah application
You are welcome to contribute to ODO through github issues in this project, by following the guides :
- create a UserFeedback to share your own expertise, experience, or observations about data, software, or papers you read.
- create a Dataset to describe data that is relevant to the scope. A dataset is "a coherent collection of information or resources (data files, explanatory files, APIs, links, etc.) and metadata (description, publication date, keywords, geographical/temporal coverage, etc.)."
- create a Blank issue for everything else of if you are not sure about the categories of instance you wish to insert.
This work is supported by the ANR research project IntForOut: Multisource spatial data INTegration FOR the Monitoring of Ecosystems under the pressure of OUTdoor recreation (ANR-23-CE55-0003).