Session
Computer Science and Communication Engineering
Description
The adaptation of company processes to the EU Regulation represents a major opportunity to review, update and improve the internal processes and management tools used. The loss of data, in most cases, causes serious damage to the image and very often the total closure of the company. The legislation therefore represents an opportunity and a stimulus to verify the management methods applied, to define an organizational model and a code of conduct (policies, processes, rules / provisions and controls) capable of improving internal processes, defining and achieving desired objectives, ensure data and systems protection with proper risk management and assessment. This paper presents the principles of the LegalRuleML applied to the legal domain like General Data Protection Regulation (GDPR) and discusses reasons that LegalRuleML is convenient for modeling norms. We need to understand why it is important to develop a specific domain language that refers to internal GDPR privacy consulting and BPM mapping. LegalRuleML allows inconsistent renditions of a legal source to coexist in the same LegalRuleML document and provides functionality to identify and select interpretations.
Keywords:
LegalRuleML, framework, business, process, GDPR
Session Chair
Zhilbert Tafa
Session Co-Chair
Xhafer Krasniqi
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-96-7
First Page
30
Last Page
36
Location
Lipjan, Kosovo
Start Date
31-10-2020 1:30 PM
End Date
31-10-2020 4:15 PM
DOI
10.33107/ubt-ic.2020.524
Recommended Citation
Tavanxhiu, Tea; Alberici, Andrea; and Sevrani, Kozeta, "Proposal of a legal framework through the development of new domain specific languages (DSL) in compliance with GDPR" (2020). UBT International Conference. 329.
https://knowledgecenter.ubt-uni.net/conference/2020/all_events/329
Included in
Proposal of a legal framework through the development of new domain specific languages (DSL) in compliance with GDPR
Lipjan, Kosovo
The adaptation of company processes to the EU Regulation represents a major opportunity to review, update and improve the internal processes and management tools used. The loss of data, in most cases, causes serious damage to the image and very often the total closure of the company. The legislation therefore represents an opportunity and a stimulus to verify the management methods applied, to define an organizational model and a code of conduct (policies, processes, rules / provisions and controls) capable of improving internal processes, defining and achieving desired objectives, ensure data and systems protection with proper risk management and assessment. This paper presents the principles of the LegalRuleML applied to the legal domain like General Data Protection Regulation (GDPR) and discusses reasons that LegalRuleML is convenient for modeling norms. We need to understand why it is important to develop a specific domain language that refers to internal GDPR privacy consulting and BPM mapping. LegalRuleML allows inconsistent renditions of a legal source to coexist in the same LegalRuleML document and provides functionality to identify and select interpretations.