Constraint Databases, Data Structures and Efficient Query Evaluation

Constraint databases that can be described by boolean combinations of polynomial inequalities over the reals have received ample research attention. In particular, the expressive power of first - order logic over the reals, as a constraint database query language, has been studied extensively. The d...

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Detalles Bibliográficos
Publicado:	2004
Materias:	Data structures Data visualization Formal logic Query languages Boolean combinations Constraint Databases Data exploration Efficient query evaluation Expressive power First order logic Polynomial inequalities Quantifier elimination Query processing
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v3074_n_p1_Heintz http://hdl.handle.net/20.500.12110/paper_03029743_v3074_n_p1_Heintz
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_03029743_v3074_n_p1_Heintz
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spelling	paper:paper_03029743_v3074_n_p1_Heintz2023-06-08T15:28:21Z Constraint Databases, Data Structures and Efficient Query Evaluation Data structures Data visualization Formal logic Query languages Boolean combinations Constraint Databases Data exploration Efficient query evaluation Expressive power First order logic Polynomial inequalities Quantifier elimination Query processing Constraint databases that can be described by boolean combinations of polynomial inequalities over the reals have received ample research attention. In particular, the expressive power of first - order logic over the reals, as a constraint database query language, has been studied extensively. The difficulty of the effective evaluation of first - order queries, usually involving some form of quantifier elimination, has been largely neglected. The contribution of this paper is a discussion of various aspects that influence the efficiency of the evaluation of queries expressible in first - order logic over the reals. We emphasize the importance of data structures and their effect on the complexity of quantifier-elimination. We also propose a novel data model that supports data exploration and visualization as well as efficient query evaluation. In this context, we introduce the concept of sample point query. Finally, we show that a particular kind of sample point query cannot be evaluated in polynomial sequential time by means of branching - parsimonious procedures. © Springer - Verlag 2004. 2004 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v3074_n_p1_Heintz http://hdl.handle.net/20.500.12110/paper_03029743_v3074_n_p1_Heintz
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Data structures Data visualization Formal logic Query languages Boolean combinations Constraint Databases Data exploration Efficient query evaluation Expressive power First order logic Polynomial inequalities Quantifier elimination Query processing
spellingShingle	Data structures Data visualization Formal logic Query languages Boolean combinations Constraint Databases Data exploration Efficient query evaluation Expressive power First order logic Polynomial inequalities Quantifier elimination Query processing Constraint Databases, Data Structures and Efficient Query Evaluation
topic_facet	Data structures Data visualization Formal logic Query languages Boolean combinations Constraint Databases Data exploration Efficient query evaluation Expressive power First order logic Polynomial inequalities Quantifier elimination Query processing
description	Constraint databases that can be described by boolean combinations of polynomial inequalities over the reals have received ample research attention. In particular, the expressive power of first - order logic over the reals, as a constraint database query language, has been studied extensively. The difficulty of the effective evaluation of first - order queries, usually involving some form of quantifier elimination, has been largely neglected. The contribution of this paper is a discussion of various aspects that influence the efficiency of the evaluation of queries expressible in first - order logic over the reals. We emphasize the importance of data structures and their effect on the complexity of quantifier-elimination. We also propose a novel data model that supports data exploration and visualization as well as efficient query evaluation. In this context, we introduce the concept of sample point query. Finally, we show that a particular kind of sample point query cannot be evaluated in polynomial sequential time by means of branching - parsimonious procedures. © Springer - Verlag 2004.
title	Constraint Databases, Data Structures and Efficient Query Evaluation
title_short	Constraint Databases, Data Structures and Efficient Query Evaluation
title_full	Constraint Databases, Data Structures and Efficient Query Evaluation
title_fullStr	Constraint Databases, Data Structures and Efficient Query Evaluation
title_full_unstemmed	Constraint Databases, Data Structures and Efficient Query Evaluation
title_sort	constraint databases, data structures and efficient query evaluation
publishDate	2004
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v3074_n_p1_Heintz http://hdl.handle.net/20.500.12110/paper_03029743_v3074_n_p1_Heintz
_version_	1768545925722013696

Constraint Databases, Data Structures and Efficient Query Evaluation

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