The eXtensible Mark-up Lanquage (XML) is the standard mark-up languqge for representating, exchanging and publishing information on the Web. The XML data model, called Infoset, represents XML documents as multi-sorted graphs, including nodes belonging to a variety of types. XML-based formats are increasingly used as languages for interoperability and agents'communication on the Internet, raising the need for techniques capable to extract and organize heterogeneous XML messages and data while tolerating variations in their internal structure. This paper presents a technique for organizing well-formed XML information items around user pronided graph patterns. Our approach is based on a graph granulation technique that allows agents to exttact XML data at different levels of detail, using XML graphs' edges as a hint to semantic relation between nodes. The design and implementation of a software tool for XML data granulation are also discussed.
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