Descripción
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Reasoning on temporal references present in free text documents is a challenging problem demanding the synergy of several disciplines in Arti?cial Intelligence. First, Natural Language Processing (NLP) techniques are necessary to mine temporal expressions (referring to instants and events) and their relations; then, knowledge representation systems able to support more than trivial temporal information must be de?ned; ?nally, temporal logic systems exposing practical functionality are much demanded. Documents in the legal domain are rich in temporal expressions, often linked to a norm. Permissions, obligations and prohibitions are often bounded by temporal constraints. While there exist dierent rules and policy languages capable of representing temporal constraints to some extent, they are far from being able to express the complex temporal relations present in these legal texts. Reaching a formalized expression of temporal rules able to accommodate the ?ndings of the NLP algorithms and enabling temporal reasoning in an integrated manner would unleash new possibilities in the area of legal reasoning. As this thesis is still in an early phase, Doctoral Consortium feedback will be extremely valuable for topic delimitation and additional research lines | |
Internacional
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Si |
Nombre congreso
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International Joint Conference on Rules and Reasoning RuleML+RR 2017 - Doctoral Consortium |
Tipo de participación
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960 |
Lugar del congreso
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Londres, Reino Unido |
Revisores
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Si |
ISBN o ISSN
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1613-0073 |
DOI
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Fecha inicio congreso
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11/07/2017 |
Fecha fin congreso
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15/07/2017 |
Desde la página
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1 |
Hasta la página
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8 |
Título de las actas
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Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @RuleML+RR 2017 http://ceur-ws.org/Vol-1875/paper2.pdf |