2009
DOI: 10.1007/978-3-642-04985-9_28
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Fill the Gap in the Legal Knowledge Modelling

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Cited by 23 publications
(9 citation statements)
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“…Rule: JINT_RecallNonOppressiveClauses If (C1 recalled_by B1) and (B1 hasfactor RecallsNonOppressiveClauses) and (ASSUMPTION_C1 judged_as Cass.5860/1998) Then (not C1 applies SpecificallySigned) and (C1 RecallException) Please notice the particular role given to the precedent "Cass.5860/1998": it is an assumption 9 , so it does not prevent the system from suggesting this particular interpretation (and the precedent) as a result of the reasoning process on cases which share the other conditions, even if that precedent is not explicitly recalled. At the same time, if the precedent is directly cited in the case, the system is capable of putting a stronger accent on that interpretation, not only by assuming its applicability but by directly stating it.…”
Section: Modelling Of the Precedentmentioning
confidence: 97%
See 1 more Smart Citation
“…Rule: JINT_RecallNonOppressiveClauses If (C1 recalled_by B1) and (B1 hasfactor RecallsNonOppressiveClauses) and (ASSUMPTION_C1 judged_as Cass.5860/1998) Then (not C1 applies SpecificallySigned) and (C1 RecallException) Please notice the particular role given to the precedent "Cass.5860/1998": it is an assumption 9 , so it does not prevent the system from suggesting this particular interpretation (and the precedent) as a result of the reasoning process on cases which share the other conditions, even if that precedent is not explicitly recalled. At the same time, if the precedent is directly cited in the case, the system is capable of putting a stronger accent on that interpretation, not only by assuming its applicability but by directly stating it.…”
Section: Modelling Of the Precedentmentioning
confidence: 97%
“…The research presented in this paper stems from the author's work on a framework for case-law semantics whose goal is to exploit Semantic Web technologies to achieve isomorphism between a text fragment (the only legally binding expression of a norm) and a legal rule, thus filling the gap between the semantics of legal documents and the syntax of legal norms, as explained in [9]. More precisely, the framework models the content of judicial documents, i.e.…”
Section: The Judicial Framework Projectmentioning
confidence: 99%
“…This work had a follow-up in the EU Project ESTRELLA, 56 in which the ontology for Legal Knowledge Interchange Format-LKIF was finally created [17,61,63]. LKIF was used in several projects to model deeper legal concepts [86] and represent legal documents. Several ontologies were developed on top of the work done in CENMetaLex and on Akoma Ntoso: an ontology for managing a legislative text's evolution over time and its linguistic variants [78,79]; an ontology for managing modifications of norms [49,[82][83][84]; an ontology for modelling relations between authorities, agents, and roles in the process of producing a legal document [7].…”
Section: Semantic Web and The Lawmentioning
confidence: 99%
“…-Text-to-knowledge morphism: the aim is to design the knowledge that can be extracted from a (textual) judicial decision, or a fragment of it, as a module in an ontology library, so that each module constitutes a particular morphism of the legal meaning expressed by that text [38]. This means that the ontology should be easily extended with entities extracted from text, therefore it should contain as many constraints as needed for judicial reasoning, without over constraining with unneeded axioms (i.e.…”
Section: Tasks and Applicationsmentioning
confidence: 99%