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Mapping based SPARQL access to a MongoDB database Franck Michel, Catherine Aaron Tucker, Johan MontagnatTo cite this version: Franck Michel, Catherine Aaron Tucker, Johan Montana. Mapping based SPARQL
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How to fill out mapping-based sparql access to

01
First, you need to have a mapping file that defines the relationship between the data in your RDF graph and the SPARQL endpoint.
02
Open the SPARQL endpoint and access the mapping editor.
03
Load the mapping file into the editor and verify that it is correctly parsed.
04
Fill out the mapping by associating the predicates in your RDF graph with the corresponding properties in the SPARQL endpoint.
05
Save the completed mapping file and apply it to the SPARQL endpoint.
06
Test the mapping-based SPARQL access by querying the data through the SPARQL endpoint and verifying the results.

Who needs mapping-based sparql access to?

01
Mapping-based SPARQL access is needed by individuals or organizations who want to query and retrieve data from an RDF graph using a SPARQL endpoint.
02
It is particularly useful for those who have complex mappings between their RDF data and the SPARQL endpoint, as it provides a more direct and efficient way to access the data.
03
Researchers, developers, or data analysts who work with RDF data and need to integrate it with other systems or perform advanced queries can benefit from mapping-based SPARQL access.
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Mapping-based SPARQL access is used to retrieve data from mapped information in a database.
Individuals or organizations who need to access mapped information via SPARQL queries.
Mapping-based SPARQL access can be filled out by writing SPARQL queries according to the mapped information.
The purpose of mapping-based SPARQL access is to retrieve specific data from mapped information efficiently.
Mapped data sources, SPARQL queries used, and results obtained need to be reported.
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