Téléchargement | - Voir le manuscrit accepté : LegalRuleML: XML-based rules and norms (PDF, 478 Kio)
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DOI | Trouver le DOI : https://doi.org/10.1007/978-3-642-24908-2_30 |
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Auteur | Rechercher : Palmirani, Monica; Rechercher : Governatori, Guido; Rechercher : Rotolo, Antonino; Rechercher : Tabet, Said; Rechercher : Boley, Harold1; Rechercher : Paschke, Adrian |
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Affiliation | - Conseil national de recherches du Canada. Institut de technologie de l'information du CNRC
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Format | Texte, Chapitre de livre |
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Conférence | 5th International Symposium on Rules: Research Based and Industry Focused (RuleML 2011), November 3-5, 2011, Fort Lauderdale, Florida, USA |
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Sujet | legal rules; legal XML standards; semantic web; legal reasoning; LegalRuleML |
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Résumé | Legal texts are the foundational resource where to discover rules and norms that feed into different concrete (often XML-based) Web applications. Legislative documents provide general norms and specific procedural rules for eGovernment and eCommerce environments, while contracts specify the conditions of services and business rules (e.g. service level agreements for cloud computing), and judgments provide information about the legal argumentation and interpretation of norms to concrete case-law. Such legal knowledge is an important source that should be detected, properly modeled and expressively represented in order to capture all the domain particularities. This paper provides an extension of RuleML called LegalRuleML for fostering the characteristics of legal knowledge and to permit its full usage in legal reasoning and in the business rule domain. LegalRuleML encourages the effective exchange and sharing of such semantic information between legal documents, business rules, and software applications. |
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Date de publication | 2011-11-10 |
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Maison d’édition | Springer Berlin Heidelberg |
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Dans | |
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Série | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Numéro NPARC | 19669782 |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 9037f70f-cd1f-4cab-9ca1-36f4d952016d |
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Enregistrement créé | 2012-03-20 |
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Enregistrement modifié | 2020-03-03 |
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