UDOOM

uncertainty in deductive object-oriented data modeling

Burcin Bostan, Adnan Yazici

Research output: Contribution to journalArticle

Abstract

Object-oriented data model and deductive data model are two different paradigms which are proposed to extend the traditional databases. However, both of them have some shortcomings. There are some studies which combine these two approaches and obtain a more powerful one. On the other hand, uncertainty modeling and manipulation is required in deductive object-oriented database to handle complex objects with uncertain properties in knowledge intensive database applications, such as Expert Database Systems, Environmental Information Systems. In this study, a data model, UDOOM, is proposed for representation and deduction of complex objects along with their uncertain properties. All of the null, range, and fuzzy type of uncertainty are considered. Deduction is used to be able to cope with relationships and to derive new attribute values and classes.

Original languageEnglish
Pages (from-to)197-205
Number of pages9
JournalTurkish Journal of Electrical Engineering and Computer Sciences
Volume5
Issue number2
Publication statusPublished - Dec 1 1997
Externally publishedYes

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Data structures
Information systems
Uncertainty
Object-oriented databases
Intelligent databases

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

UDOOM : uncertainty in deductive object-oriented data modeling. / Bostan, Burcin; Yazici, Adnan.

In: Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 5, No. 2, 01.12.1997, p. 197-205.

Research output: Contribution to journalArticle

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