Extracting meaningful entities from regulatory text: Towards automating regulatory compliance

Sapkota, Krishna; Aldea, Arantza; Younas, Muhammad; Duce, David A.; Bañares‐Alcántara, René

doi:10.1109/relaw.2012.6347798

Cited by 12 publications

(6 citation statements)

References 7 publications

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“…In this sense, it is suggested that the source and the "schema" of the identified topics are kept. The "schema" is the definition of the structure of the text in the document, containing a set of components such as the section of the chapter and paragraph [69]. The basic idea of this step is to enable product developers, engineers, and other relevant stakeholders to have access to the legal text in case there are specific questions related to the requirements formulation and/or contextual background.…”

Section: Step 4-extraction Of Traceabilitymentioning

confidence: 99%

“…There are different degrees of obligation in a legal sentence [69,71], so that the requirements should be classified into required or desirable, according to the statements of the legislation. The required ones are those topics with which the company needs to comply.…”

Section: Step 6-classification Of Legislation and Definition Of The Omentioning

confidence: 99%

“…. ", the requirement can be classified as duty, liability, "no-right", or disability, and the requirement will be obligatory [69]. On the other hand, for the verbs "may, has the right to, .…”

Section: Step 6-classification Of Legislation and Definition Of The Omentioning

confidence: 99%

See 2 more Smart Citations

The Deployment of Product-Related Environmental Legislation into Product Requirements

et al. 2016

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Environmental legislation is increasingly changing its focus from manufacturing-oriented to product-oriented instruments. Compliance with product-related environmental legislation is achieved by the incorporation of environmental requirements into the early phases of the product development process (PDP). Nevertheless, the deployment of product-related environmental legislation into product requirements is still a challenge. This study followed an inductive approach to propose a guideline to support the identification, analysis and deployment of product requirements based on product-related environmental legislation. The guideline is composed of nine steps, clustered into three groups according to their main objective: (A) identification of environmental product-related legislation; (B) identification of legislative topics to be considered for the deployment of requirements; and (C) creation and validation of product requirements. The product requirements deployed are to be considered during the PDP. The guideline was evaluated in an expert consultation in a large manufacturing company, suggesting that it can be used to support the systematization and deployment of product-related environmental requirements.

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Section: Step 4-extraction Of Traceabilitymentioning

confidence: 99%

Section: Step 6-classification Of Legislation and Definition Of The Omentioning

confidence: 99%

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The Deployment of Product-Related Environmental Legislation into Product Requirements

et al. 2016

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“…The annotation and ontology population process for the regulation are described in [17]. A graphical representation of the ontology is shown in Figure 5.…”

Section: B Regulation and Semreg Ontologymentioning

confidence: 99%

RP-Match: A Framework for Automatic Mapping of Regulations with Organizational Processes

Sapkota

Aldea

Younas

et al. 2013

2013 IEEE 10th International Conference on E-Business Engineering

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Mapping organizational processes with applicable regulatory guidelines is an important step in Regulatory Compliance Management. The Automation of the mapping process can help the overall compliance process. Though existing approaches compute mapping between different entities (e.g., ontology mapping, sentence similarity, semantic similarity and regulation-requirement mapping), the automation of the mapping process between regulation and processes has not been fully investigated yet. In this paper, we present RP-Match framework and propose a cascading-priority algorithm in order to compute similarity between regulation and processes. The framework also takes account of the structures of the regulation ontology and organizational process ontology for the similarity measures. The framework is tested using a Pharmaceutical industry case study. Results obtained show significant improvement in the mapping process.

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“…Other researchers paid attention to improving the methods of checking compliance in business process (El Kharbili, 2012;Elgammal, Turetken, Heuvel, & Papazoglou, 2011;Ramezani, Fahland, & Aalst, 2012). Additionally, others emphasized establishing new technologies and prescriptive frameworks to achieve organizational compliance (COMPAS, 2011;Foorthuis & Bos, 2011;Schäfer, Fettke, & Loos, 2012), or focused on both extracting and translating the compliance requirements into process rules (Sapkota, Aldea, Younas, Duce, & Banares-Alcantara, 2012). Finally, some studies have concentrated on developing IT tools or artefacts that help organizations manage and understand compliance knowledge (Boella, Humphreys, Martin, Rossi, & Torre, 2012;Syed Abdullah et al, 2012b).…”

Section: Compliance Management Domainmentioning

confidence: 99%

Effect of using domain ontologies to facilitate shared understanding and cross-understanding in groups

Marin¹,

Nelson²

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Shared cognition constructs, such as shared understanding and cross-understanding, are important factors for task performance in groups in organizations. Shared understanding defines the extent of common understanding of a topic among group members, whereas cross-understanding defines the extent to which group members accurately understand the mental model of another group member regarding a specific topic. Although research in different fields has focused on understanding the theoretical effects of these constructs, little emphasis has been placed on improving their development. In Information Systems and related fields, shared understanding of a domain is said to be facilitated using a domain ontology -a domain ontology is a description of concepts and their interrelationships in a domain, and are generally represented in a graphical way. However, there is a lack of empirical evidence to support the benefit of domain ontologies facilitating shared understanding. Accordingly, to address this knowledge deficit regarding the mechanisms to enhance shared understanding and cross-understanding, and the lack of empirical evidence regarding the effect of domain ontologies on shared understanding, this study aims to explore the effect of domain-ontology usage on shared understanding and crossunderstanding in novice group members. Accordingly, we propose a theoretical model that describes the effect of domain-ontology usage on shared understanding and crossunderstanding of domains in groups. To empirically test our model, we focus on a domain ontology developed specifically for providing shared understanding of the compliance management domain. We then tested our proposed model through an experimental research design. Our experimental research design considered a two-group, post-test only, randomized experimental design with a sample of student participants. The results of our experiments indicate that group members who use a domain ontology develop significantly higher levels of shared understanding than those who do not use a domain ontology.Secondly, group members who use a domain ontology have significantly better communication quality in terms of discussion efficiency and communication clarity than those who do not use a domain ontology. Our study also found that group members who use a domain ontology develop a significantly greater cross-understanding than those who do not use a domain ontology. The outcomes of this study are expected to contribute to both theory and practice. From a theoretical perspective, we contribute the model of domainontology effects in facilitating shared understanding and cross-understanding, as well as the operationalization and testing of the cross-understanding construct. From a practical iii perspective, we contribute by improving the understanding of the role domain ontologies can play as a tool to help improve performance in groups.iv

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Extracting meaningful entities from regulatory text: Towards automating regulatory compliance

Cited by 12 publications

References 7 publications

The Deployment of Product-Related Environmental Legislation into Product Requirements

The Deployment of Product-Related Environmental Legislation into Product Requirements

RP-Match: A Framework for Automatic Mapping of Regulations with Organizational Processes

Effect of using domain ontologies to facilitate shared understanding and cross-understanding in groups

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