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We implement the query using parallel computation on Spark.
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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.
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].
Using the SemaGrow Stack and the single query "federated" mode, the SPARQL query
Once chosen, the question remains, how do we facilitate comprehension of a natural language query in a given context, device a strategy to compute its response, and implement the strategy as a traditional query over structured relations stored in local or remote information repositories.
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.
To deal with multiple-term queries effectively, we implement the positional restriction on top of a concordancer.
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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CEO of Professional Science Editing for Scientists @ prosciediting.com