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Access to Web data has become an integral part of many applicationsand services. In the past, such data has usually been accessedthrough human-tailoredHTMLinterfaces.Nowadays, rich client interfacesin desktop applications or, increasingly, in browser-based clients ease dataaccess and allow more complex client processing based on XML or RDFdata retrieved throughWeb service interfaces. Convenient specifications ofthe data processing on the client and flexible, expressive service interfacesfor data access become essential in this context.Web query languages suchas XQuery, XSLT, SPARQL, or Xcerpt have been tailored specifically forsuch a setting: declarative and efficient access and processing ofWeb data.Xcerpt stands apart among these languages by its versatility, i.e., its abilityto access not just oneWeb format but many. In this demonstration, two aspectsof Xcerpt are illustrated in detail: The first part of the demonstrationfocuses on Xcerpt’s pattern matching constructs and rules to enable effectiveand versatile data access. It uses a concrete practical use case frombibliography management to illustrate these language features. Xcerpt’svisual companion language visXcerpt is used to provide an intuitive interfaceto both data and queries. The second part of the demonstration showsrecent advancements in Xcerpt’s implementation focusing on experimentalevaluation of recent complexity results and optimization techniques, aswell as scalability over a number of usage scenarios and input sizes.

Effective and Efficient Data Access in the Versatile Web Query Language Xcerpt