Validating xml using dtd java

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For example, 100.0, 200.0, and so on are values in the value space of datatype float.

The value 100.0 can be represented using multiple literals such as 10.0E 1, 1.0E2, 1.0E 2, and so on.

Similarly, the value 200.0 can be represented using multiple literals such as 2.0E2, 2.0E 2, and so on.

All such literals for every value in the value space of A canonical lexical representation is a set of literals from among the valid set of literals for a datatype such that there is a one-to-one mapping between literals in the canonical lexical representation and values in the value space.

For example, the built-in datatype string can be customized to successfully validate strings and ensure they are of length 4.

Before we dive into the various types of datatypes, their usage, and the relationships between them, we need to understand datatypes as a general concept. A value space contains the maximum allowed set of values for a given datatype.

Therefore, when serializing a value such as 100.0, the corresponding canonical lexical representation is used—in this case, 1.0E2.

An ur-Type is a classification that says there exists a base or root of the entire type system hierarchy in XML Schema datatypes.

The datatypes that we have seen thus far are associated with the XML Schema namespace which has other XML Schema constructs as well, like complex Type, complex Content, group, and so on.

Any and every datatype in XML Schema has the ur-Type as its parent or ancestor. Object in Java, which is the base class of all built-in and user-defined classes in that language.

Similarly, the ur-type is the base of all datatypes in XML Schema.

XML Schema, in contrast, overcomes this limitation by providing 44 built-in datatypes.

Each of these datatypes can be further customized to ensure fine validation of the scalar data.

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