Mario Arrigoni Neri

Learn More
The evolution of information systems sees an increasing need of flexible and sophisticated approaches for the automated detection of anomalies in security policies. One of these anomalies is redundancy, which may increase the total cost of management of the policies and may reduce the performance of access control mechanisms and of other anomaly detection(More)
Learning objects paradigm is widely adopted in e-learning environments. Learning objects management can be improved using semantic technologies from ontology engineering and the semantic web. In this paper we use a semantic model of the repository to improve both learning objects retrieval and composition. The use of domain knowledge enables automatic(More)
Current IT systems consist usually of several components and services that communicate and exchange data over the Internet. They have security requirements that aim at avoiding information disclosure and at showing compliance with government regulations. In order to effectively handle the security management of complex IT systems, techniques are needed to(More)
Some recent works on natural language semantic parsing make use of syntax and semantics together using different combination models. In our work we attempt to use SPARQL-DL as an interface between syntactic information given by the Stanford statistical parser (namely part-of-speech tagged text and typed dependency representation) and semantic information(More)
Description Logics (DLs) are nowadays used to face a variety of problems. When dealing with numerical data coming from the real world, however, the use of traditional logics results in a loss of useful information that can be otherwise exploited using more expressive logics. Fuzzy extensions of traditional DLs, being able to represent vague concepts, are(More)
We present a Description Logics approach to the management of XACML policies. We explain how policies can be mapped to a DL axiomatization, and how authorization requests can be answered using standard DL reasoning tools. Our model represents a valid substratum for managing policies whose expressivity can not be captured by standard engines. Furthermore,(More)
  • 1