Pierpaolo Vittorini

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Currently, large efforts are spent to develop standards and architectures useful to achieve more effective interoperability among medical information systems. Despite such efforts, there are no researches produced so far to directly analyse, with statistical methods, biomedical data represented as eXtensible Markup Language (XML) documents. Thus, the paper(More)
The eXtensible markup language (XML) is a metalanguage which is useful to represent and exchange data between heterogeneous systems. XML may enable healthcare practitioners to document, monitor, evaluate, and archive medical information and services into distributed computer environments. Therefore, the most recent proposals on electronic health records(More)
TERENCE is an FP7 ICT European project that is developing an adaptive learning system for supporting poor comprehenders and their educators. Its learning material are books of stories and games. The so-called smart games serve to stimulate the story comprehension. This paper focuses on the analysis of flat stories with a specific annotation language and the(More)
To respond to the need for interoperable information systems in public health, several proposals based on XML-related technologies are currently available. For instance, the CDA [8] is an architecture developed by the HL7 organization for representing and managing clinical documents, while the PHIN [12] is a CDC infrastructure whose aim is to automatically(More)
Developing the capabilities to read and comprehend texts is fundamental for the development of children and for their full participation in society. The FP7 European project TERENCE faced the problem of poor text comprehenders and created the first adaptive learning system for text comprehension for primary school children. The paper, after a brief(More)
TERENCE is an FP7 ICT European project , highly multidisciplinary, that is developing an adaptive learning system for supporting poor comprehen-ders and their educators. Its learning material are stories and games, explicitly designed for classes of primary schools poor comprehenders, where classes were created via an extensive analysis of the context of(More)
TERENCE is an FP7 ICT European project that is developing an adaptive learning system for supporting poor comprehenders and their educators. Its learning material are stories and games. The games are specialised into smart games, which stimulate inference-making for story comprehension, and relaxing games, which stimulate visual perception and not story(More)
Text comprehension skills and strategies develop enormously from the age of 7-8 until the age of 11, when children advance as independent readers. Nowadays, more and more young children turn out to be poor (text) compre-henders: they demonstrate text comprehension difficulties, related to inference-making skills, despite proficiency in word decoding and(More)