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Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology

dc.contributor.authorTiemann, Michael
dc.contributor.authorDörpinghaus, Jens
dc.contributor.authorHariharapura Shivashankar, Venkatesh
dc.contributor.authorDorau, Ralf
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:18Z
dc.date.available2024-10-21T18:24:18Z
dc.date.issued2024
dc.description.abstractIn 2018, BIBB introduced a legacy tools taxonomy for labor market research which is enhanced utilizing the Computer Science Ontology (CSO) and dual-language translation to incorporate additional information. The main research question is if it is feasible to enrich or rebuild an existing taxonomy on the basis of CSO. This poster presents a novel approach to enrich the CSO with data from DBpedia, creating a dual-language ontology enriched with tools and entities. This includes an ML-based approach to identify tools and compares the results with the legacy work tools taxonomy to identify the gaps.en
dc.identifier.doi10.18420/inf2024_179
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45157
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectOntology Mapping
dc.subjectDual-lingual Ontologies
dc.subjectLabor Market Research
dc.subjectDigitalization
dc.subjectTools
dc.titleComparing a legacy tools taxonomy with digital tools from Computer Science Ontologyen
dc.typeText/Conference Paper
gi.citation.endPage2061
gi.citation.publisherPlaceBonn
gi.citation.startPage2059
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitleDigitalization and AI for and in Education and Educational Research (DAI-EaR'24)

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