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Semantic norm modeling and business process regulatory compliance using LegalRuleML
| Content Provider | Semantic Scholar |
|---|---|
| Author | Governatori, Guido Hashmi, Mustafa Villata, Serena Palmirani, Monica |
| Copyright Year | 2016 |
| Abstract | Legal documents are the source of norms, guidelines, and rules that often feed into different Web applications. In this scenario, it is important to have a sufficiently expressive conceptual model of the various heterogeneous aspects of such norms, guidelines, and legal knowledge in general, in order to support the further development and deployment of successful applications. In this paper, we report on the modelling and interlinking of the legal rules from an industry code, namely the Australian Telecommunications Consumer Protections Code. We investigate how to exploit Semantic Web technologies and languages like LegalRuleML to model such document through rules as well as its dynamics, in order to support humans in analysis tasks over such legal texts. Moreover, we show how this semantic annotations are used to empower a business process regulatory compliance system. We finally discuss the open challenges raised by applying a semantic approach to the legal domain. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ts.data61.csiro.au/publications/nicta_full_text/9369.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |