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Previous research has produced algorithms that bundle certain types of data together to simplify the querying process.
We cover the overall reasoning steps starting from formal representation of text arguments and ending by extraction of justified preferences which are sent to the database querying process.
Special attention is paid on the way fuzzy annotations associated with Web data are taken into account in the querying process, which is an important and original contribution of the proposed system.
This paper addresses how to efficiently query encrypted XML documents using XQuery, with the key point being how to eliminate redundant decryption so as to accelerate the querying process.
In particular the ontology similarity based approach is presented as support for ontology updates, e.g. extension with new facts from external ontologies and environments, as well as a more efficient and complete, less implementation-bounded querying process.
Based on these rules, the argumentation tool computes consensual preferences which are used to parameterize a flexible querying process of a packaging database to retrieve the most relevant solution to pack a given food.
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The query process of finding candidate video objects for a query uses a filtering together with a joining scheme.
The whole query process of the Mirc is composed of three steps.
The release of fixed moving velocity makes the query process slowly due to the significant repetitive query cost.
Fig. 6 DNSSEC query process.
Fig. 3 DNS query process.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com