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Titlebook: Digital Libraries and Archives; 7th Italian Research Maristella Agosti,Floriana Esposito,Nicola Orio Conference proceedings 2011 Springer-V

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Conference proceedings 20112011. The 20 revised full papers presented were carefully reviewed and cover topics of interest such as system interoperability and data integration; formal and methodological foundations of digital libraries; semantic web and linked data for digital libraries; multilingual information access; digit
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Sharad K. Jain,P. K. Mishra,Anupma Sharmachniques to adapt the set of user stereotypes with the aim of modelling user interests and behaviour in order to provide the most suitable service. A purposely designed simulation scenario was exploited to show the applicability of the proposal.
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Tina Jafari,Saman Javadi,Anthony S. Kiemrocessed in a specialist way to display the evolution of words from a mother language to the daughter languages. The instrument will account for all the diachronic phonological rules which occur during the word change.
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Improving User Stereotypes through Machine Learning Techniqueschniques to adapt the set of user stereotypes with the aim of modelling user interests and behaviour in order to provide the most suitable service. A purposely designed simulation scenario was exploited to show the applicability of the proposal.
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Displaying Phonological Diachronic Changes through a Database Applicationrocessed in a specialist way to display the evolution of words from a mother language to the daughter languages. The instrument will account for all the diachronic phonological rules which occur during the word change.
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Computational Models Enhancing Semantic Access to Digital Repositoriesto multimedia repositories by combining information gathered from the textual content with the one coming from pictorial representation. Furthermore, they have to be scalable, efficient and robust with respect to the inborn high-dimensionality and noise in the data collection.
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Accessing Music Digital Libraries by Combining Semantic Tags and Audio Contentmilarity, the latter provides context-aware information about individual songs. Experimental results show how the proposed model leads to better performances than approaches that rank songs using both a single information source and a their linear combination.
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Project D.A.M.A.: Document Acquisition, Management and Archivingcuments with knowledge-based techniques to represent and understand the information they contain. The innovative aspects of this work strengthen its applicability to tools that have been developed for building digital libraries.
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