A tool based on a formal approach for object-oriented database modeling and design

Author(s):  
M. Teisseire ◽  
P. Poncelet ◽  
R. Cicchetti
Author(s):  
YUN BAI ◽  
YAN ZHANG

In this paper, we propose a formal approach of Artificial Intelligence (AI) in securing object oriented database systems. We combine the specification of object oriented database with security policies and provide its formal syntax and semantics. The properties in the inheritance of authorizations in object oriented database system and reasoning about authorizations on data objects are also investigated in detail.


Author(s):  
Eric Pardede ◽  
J. Wenny Rahayu ◽  
David Taniar

Relational Database (RDB) is arguably the most widely used repository for database applications. Since the 1970s, we have witnessed the relational data model, from which the RDB is originated, evolving. The progress aims to answer the increasing requirement in database applications. One of them is the requirement to deal with complex structure of real world problems. Unlike its Object-Oriented Database (OODB) counterpart, the RDB, for example, does not have facilities to store large structured objects, semi-structured data, and so forth.


2009 ◽  
pp. 135-156 ◽  
Author(s):  
Slawomir Zadrozny ◽  
Guy de Tré ◽  
Rita de Caluwe ◽  
Janusz Kacprzyk

In reality, a lot of information is available only in an imperfect form. This might be due to imprecision, vagueness, uncertainty, incompleteness, or ambiguities. Traditional database systems can only adequately cope with perfect data. Among others, fuzzy set theory has been applied to deal with imperfections of data in a more natural way and to enhance the accessibility of databases. In this chapter, we give an overview of main trends in the research on flexible querying techniques that are based on fuzzy set theory. Both querying techniques for traditional databases as well as querying techniques for fuzzy databases are described. The discussion comprises both the relational and the object-oriented database modeling approaches.


Author(s):  
Slawomir Zadrozny ◽  
Guy de Tré ◽  
Rita de Caluwe ◽  
Janusz Kacprzyk

In reality, a lot of information is available only in an imperfect form. This might be due to imprecision, vagueness, uncertainty, incompleteness, or ambiguities. Traditional database systems can only adequately cope with perfect data. Among others, fuzzy set theory has been applied to deal with imperfections of data in a more natural way and to enhance the accessibility of databases. In this chapter, we give an overview of main trends in the research on flexible querying techniques that are based on fuzzy set theory. Both querying techniques for traditional databases as well as querying techniques for fuzzy databases are described. The discussion comprises both the relational and the object-oriented database modeling approaches.


2000 ◽  
Vol 7 (1) ◽  
pp. 66-80 ◽  
Author(s):  
G. Huanying ◽  
P. Yehoshua ◽  
G. James ◽  
H. Michael ◽  
L. Li-min ◽  
...  

2002 ◽  
Author(s):  
David V. Oliver ◽  
Roy V. Ladner ◽  
Frank P. McCreedy ◽  
Ruth A. Wilson

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