A Framework to Build Fuzzy Object-Oriented Capabilities Over an Existing Database System

2011 ◽  
pp. 177-205 ◽  
Author(s):  
Fernando Berzal ◽  
Nicolás Marin ◽  
Olga Pons
Keyword(s):  
Imperfect Information ◽  
Object Oriented ◽  
Database System ◽  
Development Effort ◽  
Complex Objects ◽  
Storage And Retrieval ◽  
Database Models ◽  
Object Oriented Database

Fuzzy object-oriented database models allow the representation, storage, and retrieval of complex imperfect information according to the object-oriented data paradigm. This chapter describes both a framework and an architecture that can be used to develop fuzzy object-oriented capabilities using the conventional features of the object-oriented data paradigm. We present a framework composed of a set of classical classes, which gives support to fuzzily described complex objects. We also explain how to deal with fuzzy extensions of object-oriented features using as a basis, the conventional object-oriented features. This proposal can be used to build a fuzzy object-oriented database system, by taking as a base an existing database system and minimizing the development effort.

Adding Prolog Rules and OOPs Inheritance to Legacy Databases

1991 ◽  
Author(s):  
Art Goldschmidt ◽  
Dipayan Gangopadhyay
Keyword(s):  
Logic Programming ◽  
Programming Language ◽  
Object Oriented ◽  
Database System ◽  
Storage Management ◽  
Complex Objects ◽  
Rule Based ◽  
System Product ◽  
Viable Approach ◽  
Trigger Mechanisms

Abstract We present a viable approach to add rules capability or object orientation to legacy databases. Using a combination of language compilation, run-time trigger mechanisms and inter-language call facility, we integrate an object-oriented logic programming language, called OOLP, with an existing CIM Database System Product, IBM’s CIM CDF. The result is a system that provides storage management of complex objects, rule-based validation, object oriented knowledge modelling and declarative query capability.

A Constraint Based Fuzzy Object Oriented Database Model

2011 ◽  
pp. 1-45 ◽  
Author(s):  
Guy de Tre ◽  
Rita de Caluwe
Keyword(s):  
Type System ◽  
Object Oriented ◽  
Building Blocks ◽  
Constraint System ◽  
Database Model ◽  
Database Models ◽  
Data Definition ◽  
Definition Of ◽  
Object Oriented Database ◽  
Adequate Data

The objective of this chapter is to define a fuzzy object-oriented formal database model that allows us to model and manipulate information in a (true to nature) natural way. Not all the elements (data) that occur in the real world are fully known or defined in a perfect way. Classical database models only allow the manipulation of accurately defined data in an adequate way. The presented model was built upon an object-oriented type system and an elaborated constraint system, which, respectively, support the definitions of types and constraints. Types and constraints are the basic building blocks of object schemes, which, in turn, are used for defining database schemes. Finally, the definition of the database model was obtained by providing adequate data definition operators and data manipulation operators. Novelties in the approach are the incorporation of generalized constraints and of extended possibilistic truth values, which allow for a better representation of data(base) semantics.

A Literature Overview of Fuzzy Database Modeling

2008 ◽  
pp. 187-207 ◽  
Author(s):  
Z.. M. Ma
Keyword(s):  
Relational Databases ◽  
Object Oriented ◽  
Data Models ◽  
Relational Model ◽  
Complex Objects ◽  
Database Modeling ◽  
Database Models ◽  
Fuzzy Database ◽  
Conceptual Data ◽  
Object Oriented Databases

Fuzzy set theory has been extensively applied to extend various data models and resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. To satisfy the need of modeling complex objects with imprecision and uncertainty, recently many researches have been concentrated on fuzzy semantic (conceptual) and object-oriented data models. This chapter reviews fuzzy database modeling technologies, including fuzzy conceptual data models and database models. Concerning fuzzy database models, fuzzy relational databases, fuzzy nested relational databases, and fuzzy object-oriented databases are discussed, respectively.

A Literature Overview of Fuzzy Database Modeling

2009 ◽  
pp. 105-125 ◽  
Author(s):  
Z.M. Ma
Keyword(s):  
Relational Databases ◽  
Object Oriented ◽  
Data Models ◽  
Relational Model ◽  
Complex Objects ◽  
Database Modeling ◽  
Database Models ◽  
Fuzzy Database ◽  
Conceptual Data ◽  
Object Oriented Databases

Fuzzy set theory has been extensively applied to extend various data models and resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. To satisfy the need of modeling complex objects with imprecision and uncertainty, recently many researches have been concentrated on fuzzy semantic (conceptual) and object-oriented data models. This chapter reviews fuzzy database modeling technologies, including fuzzy conceptual data models and database models. Concerning fuzzy database models, fuzzy relational databases, fuzzy nested relational databases, and fuzzy object-oriented databases are discussed, respectively.

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