2008 Third International Conference on Availability, Reliability and Security 2008
DOI: 10.1109/ares.2008.79
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Annotating Regulations Using Cerno: An Application to Italian Documents - Extended Abstract

Abstract: The increasing complexity of software systems and growing demand for regulations compliance require effective methods and tools to support requirements analysts activities. Internationalization of information systems due to both economics and Web based architectures call for the application of regulations written in different languages. Thus far existing approaches for extracting rights and obligations have concentrated on English documents. In this paper, we describe the results of the application of Cerno, a… Show more

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Cited by 5 publications
(2 citation statements)
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“…1) require legal experts to describe patterns in natural language. Such a description is parsed by a natural language processor on the basis of a semantic template (Breaux and Antón 2008;Zeni et al 2008). The annotated description is then used to automatically generate graphical models of patterns, which are revised by security engineers using a CASE tool.…”
Section: Contribution Of the Papermentioning
confidence: 99%
“…1) require legal experts to describe patterns in natural language. Such a description is parsed by a natural language processor on the basis of a semantic template (Breaux and Antón 2008;Zeni et al 2008). The annotated description is then used to automatically generate graphical models of patterns, which are revised by security engineers using a CASE tool.…”
Section: Contribution Of the Papermentioning
confidence: 99%
“…This approach allows for the development of a wide range of semantic annotation tools on top of Cerno in order to support different annotation models and the analysis of different types of input documents. For instance, Cerno has been applied in the tourism sector (Kiyavitskaya et al 2006(Kiyavitskaya et al , 2007b and in the domain of regulatory documents to extract obligations and rights (Kiyavitskaya et al 2007a;Zeni et al 2008). The approach, however, needs a preliminary adaptation of the architecture of Cerno to each particular application domain.…”
mentioning
confidence: 98%