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XQuery is a language designed for processing XML data, and it is intended to make querying XML-based data sources as easy as querying databases. Although there have been attempts at XML query languages before such as XQL, XML-QL, and Quilt XQuery, a product of the W3C, is the first to receive industry-wide attention. The Query Working Group of the W3C has made it clear that there is a need for a human-readable query syntax, and there is also a requirement for an XML-based query syntax. XQuery was designed to meet the human-readable syntax requirement. It is an expression language that is an extension of XPath. With few exceptions, every XPath expression is also an XQuery expression. What XQuery provides, however, is a humanreadable language that makes it easy to query XML sources and combine that with programming language logic. Similar to using style sheet transformations, the XQuery process uses XPath expressions and its own functions to query and manipulate XML data. It is a strongly typed language, and its syntax is very similar to a high-level programming language, such as Perl. To demonstrate how XQuery works, we will use the example XML file shown in Listing 6.1. The following is a valid

return 0; } BOOL CALLBACK APISPY32DlgProc(HWND hWndDlg, UINT msg, WPARAM wParam, LPARAM lParam) { switch ( msg ) { case WM_COMMAND: Handle_WM_COMMAND(hWndDlg, wParam, lParam); return TRUE: case WM_INITDIALOG: Handle_WM_INITDIALOG(hWndDlg, wParam, lParam); return TRUE; case WM_CLOSE: EndDialog(hWndDlg, 0); return FALSE; } return FALSE;

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would require updating address information in, perhaps, several places with additional time spent on the task and the attendant risks of creating inconsistencies in structure by unintentionally making slightly different changes in each schema document We might want others to be able to access and use type definitions that we have created Alternatively, we might want to access type definitions in XSD Schema documents created by others While we might want to use an industrystandard schema as it stands, we might alternatively want to adapt the standard schema to reflect our company s data needs In any of these scenarios, the ability to access more than one schema document is a typical requirement The notion of modular schemas is one of growing importance throughout the XML world You might be aware that XHTML has been modularized in version 11 (see wwww3org/TR/xhtml11).

Profiles for different types of user agents will make use of a range of the XHTML 11 modules appropriate to the user agent capabilities To do that, the user agent must be able to make use of schema information from several schema modules Similar modularization changes are proposed for other XML-based languages, such as the Scalable Vector Graphics specification in version 11 (see wwww3org/TR/SVG11) So, you can see that an understanding of how to combine schema modules will be a highly relevant skill in the future of XML application languages In some settings, we might well be satisfied with simply using definitions from a referenced schema exactly as they are defined in the schema that we have referenced Sometimes, however, it might be advantageous to adapt definitions from the referenced schema to the specific needs of information storage in a particular setting.

Notice in Figure 5.10 the right pane is a visualization of the ontology, while the left pane allows you to choose what class or classes to visualize from the class list (bottom left pane). The Prot g class structure is identical to the UML model except for the lack of behaviors. RDFS classes only have a name and properties. After modeling the classes, Prot g allows you to generate both the RDF schema and an RDF document if you create instances of the Schema (Figure 5.10 has one tab labeled Instances ). Remember, a class is the blueprint from which you can create many instances. So, if the class describes the properties of an address like street, city, state, and zip code, you can create an number of instances of addresses like 3723 Saint Andrews Drive, Sierra Vista, Arizona, and 85650. Listing 5.6 is the RDF Schema for the class model in Figure 5.10. Listing 5.7 is an RDF document with instances of the classes in Listing 5.6.

You have seen how useful it can be to derive new datatypes from types within the same schema as the derived type We will look at the syntax that we need to use to exploit referenced schema definitions to create new datatypes or elements within the referencing schema Let s move on to look at the syntax we need in order to be able to make use of schema information contained in referenced schema modules..

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