Nòmos 3: Legal Compliance of Roles and Requirements

Ingolfo, Silvia; Jureta, Ivan; Siena, Alberto; Perini, Anna; Susi, Angelo

doi:10.1007/978-3-319-12206-9_22

Cited by 32 publications

(25 citation statements)

References 10 publications

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“…Besides these CMFs there are other modeling languages that are independent of any formalism and provide modeling constructs to represent norms. For example, Nómos 3 (Ingolfo et al, 2014) a primitive-based compliance verification language that uses primitives as notations to design graphical models to reason about the compliance requirements and the roles with the norms and conceptual graph-based norms modeling language (Croitoru et al, 2012). Further evaluations of such formalism independent languages can certainly provide further insights into the state-of-the-affairs as well as shortcomings of such languages.…”

Section: Discussionmentioning

confidence: 99%

Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation

Hashmi

Governatori

2017

Artif Intell Law

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The effectiveness of a compliance management framework (CMF) can be guaranteed only if the framework is based on sound conceptual and formal foundations. In particular, the formal language used in the CMF is able to expressively represent the specifications of normative requirements (hereafter, norms) that impose constraints on various activities of a business process. However, if the language used lacks expressiveness and the modelling constructs proposed in the CMF are not able to properly represent different types of norms, it can significantly impede the reliability of the compliance results produced by the CMF. This paper investigates whether existing CMFs are able to provide reasoning and modeling support for various types of normative requirements by evaluating the conceptual foundations of the modeling constructs that existing CMFs use to represent a specific type of norm. The evaluation results portray somewhat a bleak picture of the state-of-the-affairs when it comes to represent norms as none of the existing CMFs is able to provide a comprehensive reasoning and modeling support. Also, it points to the shortcomings of the CMFs and emphasises exigent need of new modeling languages with sound theoretical and formal foundations for representing legal norms.

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Section: Discussionmentioning

confidence: 99%

Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation

Hashmi

Governatori

2017

Artif Intell Law

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“…A model that enables traceability of delegation of obligations from regulations and their refinement into software requirements is given by (Breaux et al, 2009). A language for modeling norms and their inter-relations and analysis of various compliance alternatives is described in (Ingolfo et al, 2013;Ingolfo et al, 2014), that performs goal-oriented analysis based on effects of norms on one another. Ontologies are suggested in (Kharbili et al, 2008b) to tackle semantic disparity.…”

Section: Related Work and Discussionmentioning

confidence: 99%

From Natural-language Regulations to Enterprise Data using Knowledge Representation and Model Transformations

Kholkar¹,

Sunkle²,

Kulkarni³

2016

Proceedings of the 11th International Joint Conference on Software Technologies

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Enterprises today face an unprecedented regulatory regime and are increasingly looking to technology to ease their regulatory compliance concerns. Formal approaches in research focus on checking compliance of business processes against rules, and assume usage of matching terminology on both sides. We focus on run-time compliance of enterprise data, and the specific problem of identifying enterprise data relevant to a regulation, in an automated manner. We present a knowledge representation approach and semi-automated solution using models and model transformations to extract the same from distributed enterprise databases. We use a Semantics of Business Vocabulary and Rules (SBVR) model of regulation rules as the basis to arrive at the necessary and sufficient model of enterprise data. The approach is illustrated using a real-life case study of the MiFID-II financial regulation.

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“…In tandem with GaiusT, the different versions of the Nomos framework [8], [11], [13], [21] provide a complementary angle toward metadata extraction with a more pronounced alignment with goal models. Nomos models are built around five core concepts: roles (the holder or beneficiary of provisions), norms (either duties or rights), situations describing the past, actual or future state of the world, and associations describing how a provision affects a given situation.…”

Section: B Semantic Metadata In Legal Requirementsmentioning

confidence: 99%

Automated Extraction of Semantic Legal Metadata using Natural Language Processing

Sleimi

Sannier

Sabetzadeh

et al. 2018

2018 IEEE 26th International Requirements Engineering Conference (RE)

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Context] Semantic legal metadata provides information that helps with understanding and interpreting the meaning of legal provisions. Such metadata is important for the systematic analysis of legal requirements.[Objectives] Our work is motivated by two observations: (1) The existing requirements engineering (RE) literature does not provide a harmonized view on the semantic metadata types that are useful for legal requirements analysis.(2) Automated support for the extraction of semantic legal metadata is scarce, and further does not exploit the full potential of natural language processing (NLP). Our objective is to take steps toward addressing these limitations.[Methods] We review and reconcile the semantic legal metadata types proposed in RE. Subsequently, we conduct a qualitative study aimed at investigating how the identified metadata types can be extracted automatically.[Results and Conclusions] We propose (1) a harmonized conceptual model for the semantic metadata types pertinent to legal requirements analysis, and (2) automated extraction rules for these metadata types based on NLP. We evaluate the extraction rules through a case study. Our results indicate that the rules generate metadata annotations with high accuracy.

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Nòmos 3: Legal Compliance of Roles and Requirements

Cited by 32 publications

References 10 publications

Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation

Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation

From Natural-language Regulations to Enterprise Data using Knowledge Representation and Model Transformations

Automated Extraction of Semantic Legal Metadata using Natural Language Processing

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