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CPJ designed the SemPoD architecture, implemented the query builder and ontology frameworks, integrated the Labkey system to SemPoD, and wrote the manuscript.
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We implement the query using parallel computation on Spark.
In addition, we implemented the distributed query computation based on the Spark framework.
As it was not our primary concern, we implemented the location query service in a more simplified way.
Examples of this approach include Disco [104], Garlic [92], OLE DB [15, 16, 17], Tsimmis [49], Harmony [91] (which implemented the CORBA query service), and Sybase Adaptive Server Enterprise [86].
SS, RGO, AM and JC implemented the database and query system.
The first step of discarding is implemented in the query fingerprinting procedure, and is performed separately for all fingerprint types and repetition encoding.
Figure 9 shows how the operational model implemented, including the query system, could be configured to greatly remove the need for low level data management.
As part of the development efforts, said specification has been implemented using the Query-View- Transformation Operational (QVTO) language.
In addition, for all fully implemented queries, the queries have visualization functionalities for the returned models/pathways.
For all possible unit prices P i, i = 1, 2,..., Imax, the BB implements the algorithm to query all senders in order to determine the amount of the resource each one wants to buy under unit price P i.
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