References of "Hulstijn, Joris"
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See detailArgumentation-Based Legal Requirements Engineering: The Role of Legal Interpretation in Requirements Acquisition
Muthuri, Robert; Boella, Guido; Hulstijn, Joris et al

in Requirements Engineering Conference Workshops (REW), IEEE International (2016)

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See detailIntegrating Legal-URN and Eunomos: Towards a Comprehensive Compliance Management Solution
Boella, Guido; Tosatto, Silvano Colombo; Ghanavati, Sepideh et al

in AICOL (2013)

Business process compliance with regulations has been a topic of many research areas in Computer Science such as Requirements Engineering (RE), Artificial Intelligence (AI), Logic and Natural Language ... [more ▼]

Business process compliance with regulations has been a topic of many research areas in Computer Science such as Requirements Engineering (RE), Artificial Intelligence (AI), Logic and Natural Language Processing (NLP). This work aims to provide a systematic way of establishing and managing compliance to assist decision-making and reporting. Despite many notable advances, few systems deal adequately with legal interpretation and modeling norms in an expressive way that is well-integrated with business modeling practices. In this paper, we bring together two leading systems, Legal-URN and Eunomos, for a comprehensive compliance management solution. [less ▲]

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See detailTowards Legal Knowledge Management Systems for Regulatory Compliance
Boella, Guido; Hulstijn, Joris; Humphreys, Llio UL et al

in IX Conference of the Italian Chapter of AIS (2012)

Maintaining regulatory compliance is an increasing concern. Legal Knowledge Management systems could support the work of compliance managers. However, there are challenges to overcome, of interpreting ... [more ▼]

Maintaining regulatory compliance is an increasing concern. Legal Knowledge Management systems could support the work of compliance managers. However, there are challenges to overcome, of interpreting legal knowledge and mapping it onto business processes. In this discussion paper we determine requirements for Legal Knowledge Management systems that can handle these challenges. We argue that an approach to Legal Knowledge Management should consist of four pillars: (1) a legal ontology to express the legal concepts that are central to the interpretation of rules and regulations in practice, (2) natural language processing techniques, to semi-automatically populate the ontology, (3) a systematic method for mapping the legal concepts onto the actual data and business processes of a company, and (4) a method to construct an audit trail as part of the process design, providing legally acceptable evidence of compliance. The challenges are illustrated by an example of MIFID, a set of European regulations in the financial domain. [less ▲]

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See detailTime and Defeasibility in FIPA ACL Semantics
Rotolo, Antonino; Boella, Guido; Governatori, Guido et al

in Proceedings of WLIAMAS 2008 (2008)

Inferences about speech acts are often conditional, nonmonotonic, and involve the issue of time. Most agent communication languages, however, ignore these issues, due to the difficulty to combine them in ... [more ▼]

Inferences about speech acts are often conditional, nonmonotonic, and involve the issue of time. Most agent communication languages, however, ignore these issues, due to the difficulty to combine them in a single formalism. This paper addresses such issues in defeasible logic, and shows how to express a semantics for ACLs in order to make nonmonotonic inferences on the basis of speech acts. [less ▲]

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