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Context Selection in a Heterogeneous Legal Ontology

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dc.contributor.authorWehnert, Sabine
dc.contributor.authorFenske, Wolfram
dc.contributor.authorSaake, Gunter
dc.contributor.editorMeyer, Holger
dc.contributor.editorRitter, Norbert
dc.contributor.editorThor, Andreas
dc.contributor.editorNicklas, Daniela
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.date.accessioned2019-04-15T11:40:30Z
dc.date.available2019-04-15T11:40:30Z
dc.date.issued2019
dc.description.abstractOntology building in the legal domain is subject to ongoing research. Taxonomic ontologies provide for instance concept hierarchies for term definitions, annotations, query expansion and support for inferences. However, the context-dependent application of statuatory legal texts is hard to model, often leading to a limited ontology scope and fixed terminology to avoid conflicts. In previous work, we presented a method to create a lightweight heterogeneous ontology from textbooks offering connections between laws, while avoiding an error-prone and costly ontology alignment step. In our ontology, laws are linked by common contexts. We propose a new data model, so that the context can be explored and selected by a user, which is necessary for many applications, such as recommender systems. To obtain the relevant user context, we added a mechanism to retrieve linked laws from our ontology, given a scope of user interest and context information for each law.en
dc.identifier.doi10.18420/btw2019-ws-13
dc.identifier.isbn978-3-88579-684-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21799
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019 – Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-290
dc.subjectHeterogeneous Ontologies
dc.subjectLegal Text Linking
dc.subjectContext Selection
dc.subjectFull-text Search
dc.titleContext Selection in a Heterogeneous Legal Ontologyen
gi.citation.endPage134
gi.citation.startPage129
gi.conference.date4.-8. März 2019
gi.conference.locationRostock
gi.conference.sessiontitleWorkshop on Big (and Small) Data in Science and Humanities (BigDS 2019)

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P290 - BTW2019 - Datenbanksysteme für Business, Technologie und Web - Workshopband