XSLT processors are readily available in .NET framework

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XSLT processors are readily available
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Once you achieve this kind of separation, you have to have a way to map content to multiple presentation formats Thus the focus on style sheets and declarative rather than procedural languages was found more appropriate to the transformation of structured data into multiple formats Schemas or DTDs can be used to convert from one document instance format to the other, although Web services technologies use schemas If you need to convert a document instance from one schema format to another, you can use XSLT to do the transformation Transformation maps between schema definitions
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XSLT style sheets define rules for transforming an input document into an output document and can be used to convert any type of XML document to any other XSLT is also capable of calling out to a program and passing data from the document to the program Finally, XSLT can generate an output document in formats other than XML, such as ASCII text or SQL schema
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XPath
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While XSLT was being developed at W3C, a requirement for an expression language to select parts of a document for transformation was identified At the same time, the XPointer effort was developing an expression language for linking multiple XML documents Rather than develop separate expression languages, W3C decided to combine the two; the result was XPath (see http://wwww3org/TR/xptr) XPath provides search expressions to select document parts
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XPath is often used with XSLT to define search expressions that locate document elements to be used in the transformation But XPath can also be used independently to link multiple documents, using specific expressions and search paths XPath defines basic search expressions, calculations, and string manipulations
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XPath, as a sublanguage within an XSLT style sheet, is used for numeric calculations or string manipulations or for evaluating Boolean expressions XPath defines the document path used to select elements for transformation See the A Simple Example (Revisited) section for a complete XSLT style sheet
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Document Structure
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The hierarchical structure of XML is one of its key characteristics One of the major requirements of Web services is to recognize the hierarchical nature of XML and map existing data into XML structures and to transform data among multiple XML formats Conversion from native data to XML another major requirement of Web services is beyond the scope of XSLT and is typically handled by using proprietary products, such as IONA's converter/mapper tool An XML document is always required as input to an XSLT operation XML documents are structured as hierarchies
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Figure 2-1 illustrates the hierarchical tree structure of an XML document Each document has a root and a top-level element that encloses the rest of the document Elements within the top-level element in the diagram PurchaseOrder, in this case can have subelements, as depicted with an the asterisk (*) Elements that do not have subelements are illustrated using the data type of the element and the data of the element The element name is put into a leaf node under which is placed the element type and value, if any Figure 2-1 An XML document has a tree structure
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Parsers read through the XML document and create a tree structure like this in memory for XML programs to access XSLT reads through the document structure and includes processing instructions, attributes, expressions, and so on, to produce a new document with a new structure for example, transforming the date element into a Java or SQL date data type, if such a mapping were defined As shown in Figure 2-2, the structure of the target document can be different from that of the original document In this case, for example, imagine that the XSLT rules define that only the customer data is to be extracted and moved to the new document Transformations therefore represent an important technology for combining multiple Web services into a larger application, since Web services exchange XML documents of varying structure and content Figure 2-2 XML documents can be transformed or mapped onto different structures
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