License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2014.182
URN: urn:nbn:de:0030-drops-46567
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2014/4656/
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Sileno, Giovanni ; Boer, Alexander ; van Engers, Tom

Legal Knowledge Conveyed by Narratives: Towards a Representational Model

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Abstract

The paper investigates a representational model for narratives, aiming to facilitate the acquisition of the systematic core of stories concerning legal cases, i.e. the set of causal and temporal relationships that govern the world in which the narrated scenario takes place. At the discourse level, we consider narratives as sequences of "messages" collected in an "observation", including descriptions of agents, of agents' behaviour and of "mechanisms" relative to physical, mental and institutional domains. At the content level, stories correspond to synchronizations of embodied "agent-roles" scripts. Following this approach, the "Pierson v Post" case is analyzed in detail and represented as a Petri net.

BibTeX - Entry

@InProceedings{sileno_et_al:OASIcs:2014:4656,
  author =	{Giovanni Sileno and Alexander Boer and Tom van Engers},
  title =	{{Legal Knowledge Conveyed by Narratives: Towards a Representational Model}},
  booktitle =	{2014 Workshop on Computational Models of Narrative},
  pages =	{182--191},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-71-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{41},
  editor =	{Mark A. Finlayson and Jan Christoph Meister and Emile G. Bruneau},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2014/4656},
  URN =		{urn:nbn:de:0030-drops-46567},
  doi =		{10.4230/OASIcs.CMN.2014.182},
  annote =	{Keywords: story representation, story acquisition, legal narratives, knowledge representation, agent-roles, causation, expectations, agent-based modeling, petri}
}

Keywords: story representation, story acquisition, legal narratives, knowledge representation, agent-roles, causation, expectations, agent-based modeling, petri
Collection: 2014 Workshop on Computational Models of Narrative
Issue Date: 2014
Date of publication: 08.08.2014

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