Populating legal ontologies using semantic role labeling

in Artificial Intelligence and Law (2021), 29(2), 171-211

This article seeks to address the problem of the ‘resource consumption bottleneck’ of creating legal semantic technologies manually. It describes a semantic role labeling based information extraction ... [more ▼]

This article seeks to address the problem of the ‘resource consumption bottleneck’ of creating legal semantic technologies manually. It describes a semantic role labeling based information extraction system to extract definitions and norms from legislation and represent them as structured norms in legal ontologies. The output is intended to help make laws more accessible, understandable, and searchable in a legal document management system. [less ▲]

Argumentation-based Methodology for Goal-oriented Requirements Language (GRL)

in Proceedings of the 10th International i* Workshop co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017), Essen, Germany, June 12-13, 2017. (2017)

Goal-oriented Requirements Language (GRL) aims to capture goals and non-functional requirements of stakeholders and analyzing alternative solutions for realizing these goals. GRL also documents the ... [more ▼]

Goal-oriented Requirements Language (GRL) aims to capture goals and non-functional requirements of stakeholders and analyzing alternative solutions for realizing these goals. GRL also documents the rationale behind selecting certain goals or alternatives. However, it does not have any means to document and trace back all of the arguments that occur during the stakeholder’s discussion process. To address this, we have developed the RationalGRL framework. RationalGRL combines techniques for formal argumentation from artificial intelligence with goal modeling in GRL. However, we did not specify how practitioners can actually use this framework. In this paper we discuss the methodology for RationalGRL, which consists of two processes, goal modeling and argumentation, that can be done interchangeably. We motivate our approach with an example. [less ▲]

The RationalGRL toolset for Goal Models and Argument Diagrams

in Proceedings of the 6th International Conference on Computational Models of Argument (COMMA'16) (2016)

Classifying and Extracting Elements of Norms for Ontology Population using Semantic Role Labelling

in The 15th International Conference on Artificial Intelligence & Law — San Diego, June 8-12, 2015 (2015)

Capturing Evidence and Rationales with Requirements Engineering and Argumentation-Based Techniques

Scientific Conference (2014, September)

Integrating Legal-URN and Eunomos: Towards a Comprehensive Compliance Management Solution

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 ▲]