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Attributes
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In a schema tag definition, the tag type is defined using either the complexType tag or the simpleType tag; then it is declared In addition to the types, tags can also have attributes that are associated with them The advantage of attributes is that they can supply a richer context to the data, providing for a much more precise meaning applied to the data element type One disadvantage of attributes is that they cannot easily be manipulated using style sheets Developers building their XML document design architectures must address this question of attribute manipulation Should developers define modifiers and create meaning by using attributes, or should they use complex tags or simple tags With no simple answers available, the general guideline is that if the information will be variable and modified, then it should be in a tag format; however, if the modifier provides context and it will never need to be changed, then an attribute is more efficient
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Datatypes
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Schemas also allow a variety of datatypes as defined in the datatype specification portion of the overall schema specification A datatype is simply a kind of data In schemas, datatypes can be simple or complex, and they include decimal, floating point, strings, and the standard datatypes used by developers in most programming tasks In addition, as inherent in XML, the developer can extend the datatypes to contain any information needed to do the job For example, to build an Earned Value Management System (EVMS) that monitors cost and schedule progress on a major project, a Difference datatype could be defined to contain and monitor the difference between planned and actual costs (or any other monitored difference)
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XML Schemas and DTDs
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Datatypes can be defined to have default values and optional values, but they can also be defined to have a list of variables or even a set of variables that change with context For example, in the financial field, a monetary datatype could be designed to define a variety of currency types from various countries In addition, the definition of these currencies might be extended so that a change in the presentation display might automatically result in a correct conversion from one amount of money to the appropriate amount in the different currency A great advantage of schemas over DTDs is the ability to automatically import multiple definitions from different schemas, rather than having to redefine data element types each time a new schema is developed The ability to reuse previously tested and debugged data element types or entire schemas can result in a significant savings in development efficiency In addition, separate schemas can be created for individual departments and then combined as appropriate Of course, what works for a few departments will also work among trading partners in a B2B exchange This ability to combine, trade, and reuse schema information sharing meta-data goes a long way toward building the foundation needed for industry interoperability of information Although DTDs can handle many of these same functions, the DTD processing, in terms of computer cycles and people cycles, can be prohibitive However, after the initial schema development, the schema processing is usually minor in terms of people cycles
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What Is a Namespace
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A namespace is a simple method of bringing multiple definitions and vocabularies into a single XML document In addition, a namespace declaration (xmlns:) provides an alias that helps separate and identify data element types from different external locations The namespace addresses many issues By using a namespace, a developer can reuse an existing schema in the current document Rather than reinventing the wheel, the developer can save time and effort by building from previous work In fact, rather than using an internal schema, the namespace can reference an external schema External schemas may include data element types that already exist in the current XML document The namespace alias clearly identifies the origin of
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a data element type, allowing different tags to have separate but similar meanings For example, Ford may have a <name> tag that means lastname and first-name, while GM may simply use name In the schema, these differences can be represented as Ford:name and GM:name, eliminating any ambiguity
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