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Servlet and JavaServer Pages were used to communicate between users and databases and to implement a query.
To manage this increasingly sophisticated information more efficiently, we plan to implement a query system based on BioMart, a query-oriented data management system that provides 'data mining'-like searches of complex descriptive data (19).
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Since our algorithm directly generates the maximal dense units, it is possible to implement a query-driven version of our algorithm relatively easily.
Indeed, it implements a query system for massive data retrieval.
This is done by implementing a query generation and expansion system based on reaction-event mapping (Ohta et al., 2011).
This requires us to modify the DBMS kernel to implement a master query processing algorithm to replace the ones dealing with individual queries.
On the 'Home' page, we implemented a common query box that allows users to search expression, function and network for isoforms.
Since both the searches for individual queries and the seed-extensions between a query and individual subjects are independent, we implemented an inter-query scheme to process queries in parallel to reduce overhead on the thread switch.
This study proposes an effective BIM-integrated object query method using LandXML and IFC by implementing an object query method based on the BIM linkage model.
They can be quite easily implemented inside a query processor, much like select, project, and join.
After one year of experience, we have successfully implemented federated queries across disparate administrative domains, and have identified challenges and potential solutions concerning the selection of candidate analytic grid services, data sharing concerns, security models, and strategies for reducing expertise required at a public health agency to implement a public health grid.
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