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 language | English |
|---|---|
| Pages (from-to) | 197-205 |
| Number of pages | 9 |
| Journal | Turkish Journal of Electrical Engineering and Computer Sciences |
| Volume | 5 |
| Issue number | 2 |
| Publication status | Published - Dec 1 1997 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - UDOOM
T2 - uncertainty in deductive object-oriented data modeling
AU - Bostan, Burcin
AU - Yazici, Adnan
PY - 1997/12/1
Y1 - 1997/12/1
N2 - 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.
AB - 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.
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M3 - Article
VL - 5
SP - 197
EP - 205
JO - Turkish Journal of Electrical Engineering and Computer Sciences
JF - Turkish Journal of Electrical Engineering and Computer Sciences
SN - 1300-0632
IS - 2
ER -