Ontology-Based Integration of Heterogeneous, Incomplete and Imprecise Data Dedicated to a Decision Support System for Food Safety - Data Warehousing Design and Advanced Engineering Applications - page 91

Figure 8. Defuzzification of a MIEL++ query

Example 6
The defuzzified MIEL++ query of example 5 can
be translated into the SPARQL query of Figure 9 in
which, for readability reasons, we do not detail the
where part of the query already given in Figure 7.
An answer to a MIEL++ query must (1) satisfy
the minimal acceptable pertinence score associated

with the relation represented by the query; (2)
satisfy all the selection criteria of the query and
(3) associate a constant value with each projection
attribute of the query. The answer to a MIEL++
query in the XML/RDF subsystem is computed
in two steps. First the corresponding SPARQL
query is generated and executed into the XML/

Figure 9. The SPARQL query associated with the defuzzified MIEL++ query of example 5