Finally, we discuss the design and implementation of the Query-Event Analysis System (QEAS), which is an integrated system to (a) identify a best-matching sequence template(s) given a user query; (b) derive the meta-events based on the selected sequence templates; and (c) and use the meta-event information to answer the user query.
This paper describes the architecture, algebraic query processing framework and query execution approach that comprise the implementation of the deductive object query language (DOQL) query processing system.
This paper describes the design and implementation of the Data Quality Query System (DQ2S), a query processing framework and tool incorporating data quality profiling functionality in the processing of queries involving quality-aware query language extensions.
The presence vector is not necessary for the implementation of the algorithm since the query index table stores the word locations.
It is discussed how an agent-based transfer of information can also be established in the reverse direction, i.e. from the transport model to the land-use model based on the implementation of a query architecture.
MSB contributed in the initial stages of the system design, conceived the LCA-based simeasurey measusedused by the system, helped with the design and implementation of phylogenetic queries, and contributed to the writing of the paper.
This chapter describes the design and implementation of a novel query engine that treats data and query streams analogously, and performs multiquery evaluation by joining them.
Here we report our implementation of data query and import functionality within BioLayout Express 3D version 3.2, thereby leveraging a powerful tool to support the visualisation and analysis of large pathway and protein interaction networks.
This paper describes an implementation of query streaming that combines the Multimedia Query Format MQFF) (a standard communication language for querying multimedia databases) with Fragment Request Units (FRU) and Fragment Update Units (FUU) (which provide a standard way of randomly accessing fragments of XML documents).
In our current implementation of the Séance pipeline, we only permit query sequences to be aligned against extant sequences (i.e. we assume that the query sequences or their close relatives are in the reference data) but Pagan can also consider inferred ancestral sequences and add a query sequence as a new evolutionary lineage in the reference phylogeny.
A Skip List index was constructed on Neo4jHA of every machine after the implementation of the proposed allocation strategy for enhancing the query processing efficiency.
