| Download | - View accepted manuscript: LegalRuleML: XML-based rules and norms (PDF, 478 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/978-3-642-24908-2_30 |
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| Author | Search for: Palmirani, Monica; Search for: Governatori, Guido; Search for: Rotolo, Antonino; Search for: Tabet, Said; Search for: Boley, Harold1; Search for: Paschke, Adrian |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Book Chapter |
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| Conference | 5th International Symposium on Rules: Research Based and Industry Focused (RuleML 2011), November 3-5, 2011, Fort Lauderdale, Florida, USA |
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| Subject | legal rules; legal XML standards; semantic web; legal reasoning; LegalRuleML |
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| Abstract | 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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| Publication date | 2011-11-10 |
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| Publisher | Springer Berlin Heidelberg |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 19669782 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 9037f70f-cd1f-4cab-9ca1-36f4d952016d |
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| Record created | 2012-03-20 |
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| Record modified | 2020-03-03 |
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