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A System for Probabilistic Linking of Thesauri and Classification Systems

dc.contributor.authorPosch, Lisa
dc.contributor.authorSchaer, Philipp
dc.contributor.authorBleier, Arnim
dc.contributor.authorStrohmaier, Markus
dc.date.accessioned2018-01-08T09:23:09Z
dc.date.available2018-01-08T09:23:09Z
dc.date.issued2016
dc.description.abstractThis paper presents a system which creates and visualizes probabilistic semantic links between concepts in a thesaurus and classes in a classification system. For creating the links, we build on the Polylingual Labeled Topic Model (PLL-TM) (Posch et al., in KI 2015: advances in artificial intelligence, 2015). PLL-TM identifies probable thesaurus descriptors for each class in the classification system by using information from the natural language text of documents, their assigned thesaurus descriptors and their designated classes. The links are then presented to users of the system in an interactive visualization, providing them with an automatically generated overview of the relations between the thesaurus and the classification system.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11531
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 30, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectClassification
dc.subjectInteractive visualization
dc.subjectProbabilistic linking
dc.subjectThesauri
dc.titleA System for Probabilistic Linking of Thesauri and Classification Systems
dc.typeText/Journal Article
gi.citation.endPage196
gi.citation.startPage193

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