Developing a labelled object-relational constraint database architecture for the projection operator

Gómez-López, María Teresa; Ceballos, Rafael; Gasca, Rafael M.; Valle, Carmelo Del

doi:10.1016/j.datak.2008.09.002

Cited by 13 publications

(17 citation statements)

References 45 publications

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“…Furthermore, although the description of the set of constraints can be a hard task, it is done once and applied to every set of data. FABIOLA also provides an easy language to define the constraints based on the query language of Constraint Databases [9,10,11].…”

Section: Methodsmentioning

confidence: 99%

FABIOLA: Towards the Resolution of Constraint Optimization Problems in Big Data Environment

Parody

Varela-Vaca

Gómez-López

et al. 2018

Lecture Notes in Information Systems and Organisation

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The optimization problems can be found in several examples within companies, such as the minimization of the production costs, the faults produced, or the maximization of customer loyalty. The resolution of them is a challenge that entails an extra effort. In addition, many of today's enterprises are encountering the Big Data problems added to these optimization problems. Unfortunately, to tackle this challenge by medium and small companies is extremely difficult or even impossible. In this paper, we propose a framework that isolates companies from how the optimization problems are solved. More specifically, we solve optimization problems where the data is heterogeneous, distributed and of a huge volume. FABIOLA (FAst BIg cOstraint LAb) framework enables to describe the distributed and structured data used in optimization problems that can be parallelized (the variables are not shared between the various optimization problems), and obtains a solution using Constraint Programming Techniques.

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Section: Methodsmentioning

confidence: 99%

FABIOLA: Towards the Resolution of Constraint Optimization Problems in Big Data Environment

Parody

Varela-Vaca

Gómez-López

et al. 2018

Lecture Notes in Information Systems and Organisation

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“…Constraint Optimisation Problems (COPs) have already been used to detect the alignment between the expected and the observed behaviour in model-based diagnosis [31,32], and specifically, when the behaviour is described by means of business process models [33,34,35]. These works used the concept of reified constraints as a mechanism to assign a Boolean value to the constraints included in the model [33], being possible that a constraint that cannot be satisfied during the CSP resolution can be relaxed.…”

Section: Constraint and Optimisation Problems In A Nutshellmentioning

confidence: 99%

Empowering conformance checking using Big Data through horizontal decomposition

Valencia-Parra¹,

Varela-Vaca²,

Gómez-López³

et al. 2021

Information Systems

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“…Internal Structure of the CDB The storage proposal in Gómez-López et al (2009) presents a framework focused on storing the constraints as objects indexed by the variables contained within; hence, when a CDB is created, three auxiliary tables are also automatically created (Constraints, Variables, and Constraints/Variables), the last of which describes the relation of each constraint with its variables. These tables ( Fig.…”

Section: Orcdb Proposalmentioning

confidence: 99%

“…The differences added in the ORCDB are based on the attributes (constraints, variables of the constraints, or classic attributes) involved in the list of obtained attributes as introduced (Gómez-López et al 2009). It is only necessary to redefine the syntax of the projection over constraint variable attributes .at c i :v j /, and there are two different ways to obtain the evaluation of this type attribute, either in an extensional or in an intensional form.…”

Section: Projection Operatormentioning

confidence: 99%

Object Relational Constraint Databases for GIS

López

Gasca

2016

Encyclopedia of GIS

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Constraint databases (CDBs) have been used in geographical information systems as a mechanism to represent the complex objects and information that can participate in this type of application. CDBs are proposed to represent geographical data by means of formulas described by constraints (equations, inequations, or Boolean combinations of both), since classic data types lack the expressiveness required for the representation of the full domain of data. The appearance of the object-relational constraint databases (ORCDB) was an evolution of the definition and implementation of CDBs to optimize query evaluation. ORCDBs enable complex information represented by means of constraints to be stored and queried in object-relational databases. This evolution shields the user from unnecessary details on how the complex information is stored and how the queries are evaluated, thereby enlarging the capacity of expressiveness for any commercial database management system.

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Developing a labelled object-relational constraint database architecture for the projection operator

Cited by 13 publications

References 45 publications

FABIOLA: Towards the Resolution of Constraint Optimization Problems in Big Data Environment

FABIOLA: Towards the Resolution of Constraint Optimization Problems in Big Data Environment

Empowering conformance checking using Big Data through horizontal decomposition

Object Relational Constraint Databases for GIS

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