LINKED OPEN DATA TOOLS
The Copernicus App Lab will establish a proof-of-concept for providing the data from the Copernicus land monitoring service, the Copernicus marine environment monitoring service, and the Copernicus atmosphere monitoring service as linked open data. This endeavour is meant to promote the incorporation of Copernicus data in mobile applications and the use of proper tools in the potential future linkage efforts of the Copernicus Services or developers themselves.
The concept is based on the dissemination of data products in a loosely coupled manner based on a framework that facilitates distributed data access and processing. For this purpose, a remote data access protocol will be tailored to the purposes of Copernicus data and made available in an open-source format. It will then be possible to host multi-thematic (gridded), cloud-connected data products related to the Earth sciences in a distributed fashion either on-premises or in the cloud. This will ensure that the distributed, complex nature of data (systems) will be hidden from end users, enabling them to request and consume data using the same unified APIs.
The Copernicus App Lab consists of three technical pillars:
- Provision of Copernicus linked open data via a cloud infrastructure
- Tools for semantic linkage of Copernicus data with other societal or business information
- Improved data access via a streaming data library
GeoTriples is a tool for transforming geospatial data from their original formats (e.g., shapefiles or spatially-enabled relational databases) into RDF.
Strabon is a spatiotemporal RDF store. You can use it to store linked geospatial data that changes over time and pose queries using two popular extensions of SPARQL (GeoSPARQL and stSPARQL). Strabon has been shown experimentally to be the most efficient spatiotemporal RDF store available today.
Do you want to get the most of your relational data combining them with linked geospatial data without converting them to RDF? No problem. Ontop-spatial can create virtual geospatial RDF graphs on top of your geospatial databases.
Silk is an open source framework for integrating heterogeneous data sources. We have extended the tool to allow the discovery of spatial and temporal links among datasets. This extra functionality is now part of the default distribution.
Sextant is a web based and mobile ready platform for visualizing, exploring and interacting with linked geospatial data. The core feature of Sextant is the ability to create thematic maps by combining geospatial and temporal information that exists in a number of heterogeneous data sources.
Data Access Protocol (DAP)
The Data Access Protocol (DAP) makes local data accessible to remote locations regardless of local storage format. Similar to how video is streamed over the Internet, the DAP is a distributed data-access technology able to transform geospatial data ‘streams’ providing access to the Copernicus Land, Marine and Atmosphere monitoring services. So that they may be linked with other societal or business information, the DAP will provide the ability to map the unique public and private data holdings into a common 5-D data model (recognising x, y, z, time, and forecast time as ‘true’ dimensions). Through so-called Input/Output Service Providers (IOSP) you can extend the protocol’s capabilities allowing any GIDded data holdings to remain in their native file-formats (e.g. netCDF, GeoTIFF) so as to avoid unnecessary overhead (e.g. file-format conversions). Selections of Copernicus data will be published using the Data Access Protocol (DAP) to allow for a loosely-coupled integration in a central streaming catalogue (see “SDL”).