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definitiva in altra sede. Abstract. We propose a novel methodology for clustering XML documents on the basis of their structural similarities. The basic idea is to equip each cluster with an XML cluster representative, i.e. an XML document subsuming the most typical structural specifics of a set of XML documents. Clustering is essentially accomplished by(More)
We introduce a technique based on data mining algorithms for classifying incoming messages, as a basis for an overall architecture for maintenance and management of e-mail messages. We exploit clustering techniques for grouping structured and unstructured information extracted from e-mail messages in an unsupervised way, and exploit the resulting algorithm(More)
A common limit of most existing methods that manage XML structure information is that they do not handle the semantic meanings that might be associated to the markup tags. In this paper, we study how to map structure information available from XML elements into semantically related concepts in order to support the generation of XML semantic features of XML(More)
Social Web accommodates a wide spectrum of user activities, including information sharing via social media networks (e.g., Twitter), question answering in collaborative Q&A systems (e.g., StackOverflow), and more profession-oriented activities such as social coding in code sharing systems (e.g., Github). Social Web enables the distinctive opportunity for(More)