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In the querying context, support for MapReduce, SQL-like querying, REST (representational state transfer) and other APIs was considered.
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.
By starting queries with the smaller table, many results are filtered out early in the querying process, thereby streamlining the entire search path.
First, we perform a depth first search of the querying graph, and for each edge linking two abstract entities in the querying graph (thick black lines in Fig. 5), we calculate all the ways of instantiating it by associations between concrete entities (dotted lines in Fig. 5) together with their properties.
To allow flexibility in the querying and to be able to get summaries at different granularities (barcode, lane, pair, etc) the convention is that all the queries accept as an argument a properties hash comprising the required key-value pairs to build the query.
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The answer to this FAQ is in the query itself – I eat from the earth.
Ixquick.com, which allowed me to enter "yott*" in the query box, seemed like the best bet.
A text-based query punched into its search engine yields a list of audio files that contain the words in the query.
She added, "You try to put yourself in the shoes of the person who typed in the query".
So I checked it out, typed in the query, figured it out and now I've got the answer right in front of me.
You sigh a bit and type in the query manually.
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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