An ontology for legal reasoning on data sharing and processing between law enforcement agencies

International audienceWith the advent of the digital transition,% in many domains, the need for control of access to information has significantly increased. In the EU in particular, Law Enforcement Agencies (LEAs) need to exchange information. In recent years, many regulations have emerged to control data processing and exchange. Texts other than the GDPR, such as the "Law Enforcement Directive (LED)", appeared to regulate specifically their processing of data. This paper aims to present an ontological representation of data sharing and processing between law enforcement agencies. After highlighting the lacking notions in existing domain ontologies like LegalRuleML, we propose an ontology that integrates the required elements for our application case. Furthermore we illustrate the validation and usage of this ontology through a rule-based reasoning mechanism for data related procedures between law enforcement agencies

An ontology for legal reasoning on data sharing and processing between law enforcement agencies

International audienceWith the advent of the digital transition,% in many domains, the need for control of access to information has significantly increased. In the EU in particular, Law Enforcement Agencies (LEAs) need to exchange information. In recent years, many regulations have emerged to control data processing and exchange. Texts other than the GDPR, such as the "Law Enforcement Directive (LED)", appeared to regulate specifically their processing of data. This paper aims to present an ontological representation of data sharing and processing between law enforcement agencies. After highlighting the lacking notions in existing domain ontologies like LegalRuleML, we propose an ontology that integrates the required elements for our application case. Furthermore we illustrate the validation and usage of this ontology through a rule-based reasoning mechanism for data related procedures between law enforcement agencies

Ontologies and Rules for Access Control: a Feature Oriented Survey

"1st workshop on Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture " has been organized by six research teams from France, Argentina, Colombia and ChileInternational audienceAccess-control systems are key components to guarantee the security and confidentiality of resource repositories. Most access-control systems that are today de facto standards were designed before the generalization of cloud services and Internet of Things. Such systems are particularly heavy to maintain in today's context, which gave rise to more flexible approaches based on logical description using semantic web technologies. In this paper, we propose a survey of these semantic approaches. Although this survey does not aim at being exhaustive, it offers the reader an overview of the main trends and their limitations

Éléments d'état de l'art sur l'extraction et la modélisation de règles formelles à partir de textes légaux

International audienceThe extraction of machine-interpretable formal statements from natural language texts is a challenging and widely studied research field today. One of the application frameworks of this research field consists in extracting formal rules from legal texts and regulations. This paper presents a synthesis of different approaches to extracting rules from legal regulations, and then to formally representing these rules. From this survey, we present the draft of a tool to help of a decision support tool for sharing sensitive information between different organizations, with the aim of validating that these shares comply with the applicable regulations (GDPR or European directives on the use of AI)L'extraction d'énoncés formels interprétables par une machine à partir de textes en langage naturel est un champ de recherche largement étudié aujourd'hui. Un des cadres d'application de ce domaine de recherche consiste à extraire des règles formelles à partir de textes de lois et de réglementations. Cet article présente une synthèse de différentes approches d'extraction de règles à partir de réglementations légales, puis de représentation formelle de ces règles. A partir de cette synthèse, nous présentons l'ébauche d'un outil d'aide à la décision de partage d'informations sensibles entre différentes organisations, dans l'optique de valider que ces partages soient conformes aux réglementations applicables (RGPD ou directives européennes sur l'usage de l'IA)