Abstract
The coexistence of both structured and unstructured data represents a huge limitation for documents management in public and private contexts. In order to identify and protect specific resources within monolithic documents we have exploited the adoption of different techniques aiming to analyze texts and automatically extract relevant information. In this paper we propose an innovative framework for data transformation that is based on a semantic approach and can be adapted in many different contexts; in particular, we will illustrate the applicability of such a framework for the formalization and protection of e-health medical records.
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Amato, F., Casola, V., Mazzeo, A., Romano, S. (2011). An Innovative Framework for Securing Unstructured Documents. In: Herrero, Á., Corchado, E. (eds) Computational Intelligence in Security for Information Systems. Lecture Notes in Computer Science, vol 6694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21323-6_32
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DOI: https://doi.org/10.1007/978-3-642-21323-6_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21322-9
Online ISBN: 978-3-642-21323-6
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