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Query rewriting for semantic query optimization in spatial databases
(2019)
Query processing is an important challenge for spatial databases due to the use of complex data types that represent spatial attributes. In particular, due to the cost of spatial joins, several optimization algorithms based ...
Efficient Optimization and Processing of Queries over Text-rich Graph-structured Data
Many databases today capture both, structured and unstructured data. Making use of such hybrid data has become an important topic in research and industry. The efficient evaluation of hybrid data queries is the main topic ...
Query co-planning for shared execution in key-value stores
(Universidad Católica San PabloPE, 2022)
Large amounts of data are being stored and queried using different data
models. For each of these models, there are specialized data stores which
are then accessed concurrently by many different applications. For ...
Evolving disjunctive and conjunctive topical queries based on multi-objective optimization criteria
(Sociedad Iberoamericana de Inteligencia Artificial, 2009-02)
In this work we propose techniques based on single - and multi-objective evolutionary algorithms to automatically evolve a population of topical queries. The developed techniques can be applied in the implementation of a ...
Optimization of query results in peer-to-peer database supported by semantics
(2011-12-01)
The development of new technologies that use peer-to-peer networks grows every day, with the object to supply the need of sharing information, resources and services of databases around the world. Among them are the ...
Optimization of query results in peer-to-peer database supported by semantics
(2011-12-01)
The development of new technologies that use peer-to-peer networks grows every day, with the object to supply the need of sharing information, resources and services of databases around the world. Among them are the ...
Compact distance histogram: a novel structure to boost k-nearest neighbor queries
(University of CaliforniaAssociation for Computing Machinery - ACMLa Jolla, 2015-06)
The k-Nearest Neighbor query (k-NNq) is one of the most useful similarity queries. Elaborated k-NNq algorithms depend on an initial radius to prune regions of the search space that cannot contribute to the answer. Therefore, ...