Semantic tools are composed of two main modules: the semantic indexing module and the semantic search module.  

  • The semantic indexing module provides a service to build a knowledge graph from any dataset selected by the user, provided this data has temporal and geographic properties. This module uses several vocabularies to represent the data in RDF format in a homogeneous way. The data sources to be indexed (or integrated) could be a raster of change (from Thales), of NDVI, or land cover annotation (from DLR). The resulting knowledge graph is stored in a Strabon triplestore. The module is implemented on the platform and accessible through Jupyter-notebook available in the public folder.
  • The semantic search module: this module takes into account the kind of data that is looked for. It provides a relevant way to express the user’s interest, the searched area, and the period. The recorded semantic data can be accessed by various means:

We provide the user with two additional possibilities to easily perform a semantic search: 

  • Jupyter notebooks: Notebooks with prepared scripts and semantic queries have been developed and uploaded on the platform.
  •  Web interface: A web interface has been developed in order to simplify the query that takes into account three dimensions: spatial, temporal, and data-specific.