Information Technology Reference
In-Depth Information
Relation A
*
A1
a11
a12
A2
a21
a22
XMLDocument
<B B1="b11" id="1"></B>
<A A1="a11" A2="a21" idref="1"></A>
Data
Relation B
A1
a11
B1
b11
Conversion
<C C1="c11" id="2"></C>
<A A1="a12" A2="a22" idref="2"></A>
Relation C
A1
a12
C1
c11
Fig. 4.23
Categorization: data conversion
Relation A
A1
a11
a12
A2
a21
a22
XMLDocument
Relation B
B1
b11
<Group>
<A A1="a11" A2="a21"></A>
<B B1="b11" B2="b21"></B>
<C C1="c11" C2="c21"></C>
</Group>
B2
b21
b12
b22
Data
Relation C
C1
c11
Conversion
C2
c21
<Group>
<A A1="a12" A2="a22"></A>
<B B1="b12" B2="b22"></B>
<C C1="c12" C2="c22"></C>
</Group>
c12
c22
Relation R
*
A1
a11
*
B1
b11
*
C1
c11
a12
b12
c12
Fig. 4.24
n-ary relationship: data conversion
4.9
Summary
This chapter shows the various methods of data conversions, which include cus-
tomer program approach, interpretive transformer approach, translator generator
approach, and logical level translation approach. Customer program approach is
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