3.Filter, Constraint and Function
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Descriptif
In the third part, we will see the filters, constraints and functions.
It is possible to filter the results of query using an evaluable expression which defines constraints on variable values. So, we have seen the select clause, we have seen the where clause, and now we see the filter clause which is part of the where, and the filter clause enables to express an additional condition that will be evaluated.
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Solve SUDOKU with SPARQL...
In order to understand what we just said, let's have fun: in addition to graph matching, SPARQL implementation relies on constraint solving notably to evaluate the FILTER clause.
Subsequently, one can use SPARQL to solve constraint problems such as ... Sudoku.
The application below enables users to solve Sudoku problems by representing the grid in RDF and the constraint solver in SPARQL.
Remove some values from the grid below and submit it to the Corese SPARQL engine to convince yourself.
Play with the SPARQL Sudoku Solver :
https://corese.inria.fr/srv/sdk
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