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To efficiently process each advanced query type, customized indexing mechanisms have been developed.
Inspired by this problem, in this paper, we propose and tackle a novel and important query type, namely k-nearest keyword (k-NK) query, over a large RDF graph.
We synthetically generated three query sets for each query type, each of which contains 100 queries.
Consider the following example where each one query corresponds to one query type respectively.
Query type classification for web document retrieval is another related work [19].
We answered three types of common query models along with the strategies to answer each query type.
Similar(29)
However, such mechanisms only perform well for the query types that they were designed for; moreover, they are not readily adaptable to support other query types.
We also present the GeoMDQL syntax and a discussion regarding the taxonomy of GeoMDQL query types.
This is especially important when designing a database open for inclusion of new data and query types.
We first present and analyze time- and location-sensitive query types in the presence of static and mobile POIs and identify their corresponding query processing operations and implications.
In addition, in order to answer different query types efficiently at all levels we propose a three-tier (moving object, regional server, central repository) architecture.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com