
Abstract
Adaptive web applications combine data retrieval on the web with reasoning so as to generate context dependent contents. The data is retrieved either as content or as context specifications. Content data is, for example, fragments of a textbook or e-commerce catalogue, whereas context data is, for example, a user model or a device profile. Current adaptive web applications are often implemented using ad hoc and heterogeneous techniques. This paper describes a novel approach called ”XML Document Adaptation Queries (XDAQ)” requiring less heterogeneous software components. The approach is based on using a web query language for data retrieval (content as well as context) and on a novel generic formalism to express adaptation. The approach is generic in the sense that it is applicable with all web query and transformation languages, for example with XQuery and XSLT.
Item Type: | Conference or Workshop Item (Paper) |
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Form of publication: | Postprint |
Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
URN: | urn:nbn:de:bvb:19-epub-17338-7 |
Place of Publication: | Berlin u.a. |
Annotation: | The final publication is available at link.springer.com |
Language: | English |
Item ID: | 17338 |
Date Deposited: | 24. Oct 2013 06:29 |
Last Modified: | 04. Nov 2020 12:59 |