Implementation of object-oriented association relationships in relational databases

Rahayu, Wenny; Chang, Elizabeth; Dillon, Tharam S.

doi:10.1109/ideas.1998.694385

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…We have grouped these approaches into four areas: Relational Database Management Systems (RDBMS), Object-Relational Database Management Systems (ORDBMS), Object-Oriented Database Management Systems (OODBS) and the ODMG Object Model (Bertino and Guerrini, 1998). The extensions to RDBMSs generally include modeling relationships as tables, and further extending SQL-like languages to incorporate relationships and inheritance hierarchies pertaining to those relationships (Rahayu et al, 1998;Sun et al, 1992). In (Zhang and Harder, 1999) an attempt was made to implement semantic extensions to an ORDBMS; however, it was concluded that the current approaches taken to extend ORDBMSs do not support precise specifications or automatic maintenance of semantic relationships.…”

Section: Previous Workmentioning

confidence: 99%

The Importance of Ownership for E-Commerce

Geller

Perl

Liu

et al. 2003

IFIP Advances in Information and Communication Technology

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This paper examines the nature and characteristics of the ownership relationship between objects in an object-oriented database. The ownership relationship is distinguished from the Part-Whole relationship since these two are often confused. Dimensions of the ownership relationship are detailed and described with clarifying examples from the financial securities markets. These dimensions are: 1) exclusiveness, 2) dependency, 3) limitation, 4) status, 5) settlement, 6) documentation and 7) inheritance. Formal definitions of the dimensions of the ownership relationship are sketched out for the purpose of extending current Object-Oriented Database Models (OODBs).

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Section: Previous Workmentioning

confidence: 99%

The Importance of Ownership for E-Commerce

Geller

Perl

Liu

et al. 2003

IFIP Advances in Information and Communication Technology

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“…5,6 The Association-Oriented Database (AODB) Metamodel presented in this paper addresses directly this problem, as it brings the data platform that overcomes the limitations of RDB or even object-oriented model (OM). 7,8 The formal de¯nition of AODB is complex and in many places it requires the use of terms nowadays used in RDB or OM de¯nition, that need to be rede¯ned.…”

Section: Introductionmentioning

confidence: 99%

Formal Definition and Modeling Language of Association-Oriented Database Metamodel (AssoBase)

Krótkiewicz

2019

Vietnam J. Comp. Sci.

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The paper provides a concise discussion of the most important theoretical aspects of the Association-Oriented Database (AODB) Metamodel. Even though the model has been practically verified, the author has focused on its formal aspects and modeling language. The AODB Metamodel has been developed for the purposes of building the knowledge representation systems. Basically, such systems are structurally and functionally complex, hence they require advanced solutions to be applied for the purpose of data modeling. The modeling language enables designing database structures in the AODB Metamodel, taking into account various features of this database metamodel. The language in question is fully integrated and compatible with AODB Metamodel. It has been developed for the purposes of this metamodel, it operates with categories specific to it and, as such, it constitutes neither a version nor an extension of any of the existing languages. The second part of the paper provides the definition and discussion concerning the graphical modeling language — Association-Oriented Modeling Language (AML). The last section of the paper introduces the case-study that presents the key features of the metamodel, as well as the use of modeling language. The topics of presented examples comprise a simplified model of degree programs for universities and the model of Ontological Core, the main module of Semantic Knowledge Base (SKB).

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