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. © 2011 Springer-Verlag.
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CITATION STYLE
Amato, F., Casola, V., Mazzeo, A., & Romano, S. (2011). An innovative framework for securing unstructured documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6694 LNCS, pp. 251–258). https://doi.org/10.1007/978-3-642-21323-6_32
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