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Efficient approximations of conjunctive queries
(Society for Industrial and Applied Mathematics, 2014)
When finding exact answers to a query over a large database is infeasible, it is natural
to approximate the query by a more efficient one that comes from a class with good bounds on the
complexity of query evaluation. ...
Semantic Acyclicity on Graph Databases
(SIAM, 2016)
It is known that unions of acyclic conjunctive queries (CQs) can be evaluated in linear time, as opposed to arbitrary CQs, for which the evaluation problem is NP-complete. It follows from techniques in the area of ...
A more general theory of static approximations for conjunctive queries
(Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2018)
Conjunctive query (CQ) evaluation is NP-complete, but becomes tractable for fragments of bounded hypertreewidth. Approximating a hard CQ by a query from such a fragment can thus allow for an efficient approximate evaluation. ...
Solving Multiple Queries through a Permutation Index in GPU
(Revista Computación y Sistemas; Vol. 17 No.3, 2013-09-11)
Abstract. Query-by-content by means of similarity
search is a fundamental operation for applications that
deal with multimedia data. For this kind of query
it is meaningless to look for elements exactly equal
to the ...
The complexity of reverse engineering problems for conjunctive queries
(Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2017)
Reverse engineering problems for conjunctive queries (CQs), such as query by example (QBE) ordefinability, take a set of user examples and convert them into an explanatory CQ. Despite theirimportance, the complexity of ...
Efficient approximations of conjunctive queries
(SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS, 2014)
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, ...
Ontological query answering under many-valued group preferences in Datalog+/–
(Elsevier Science Inc, 2018-02)
The Web has recently been changing more and more to what is called the Social Semantic Web. As a consequence, the ranking of search results no longer depends solely on the structure of the interconnections among Web pages. ...