Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology
dc.contributor.author | Tiemann, Michael | |
dc.contributor.author | Dörpinghaus, Jens | |
dc.contributor.author | Hariharapura Shivashankar, Venkatesh | |
dc.contributor.author | Dorau, Ralf | |
dc.contributor.editor | Klein, Maike | |
dc.contributor.editor | Krupka, Daniel | |
dc.contributor.editor | Winter, Cornelia | |
dc.contributor.editor | Gergeleit, Martin | |
dc.contributor.editor | Martin, Ludger | |
dc.date.accessioned | 2024-10-21T18:24:18Z | |
dc.date.available | 2024-10-21T18:24:18Z | |
dc.date.issued | 2024 | |
dc.description.abstract | In 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.doi | 10.18420/inf2024_179 | |
dc.identifier.isbn | 978-3-88579-746-3 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/45157 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | INFORMATIK 2024 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-352 | |
dc.subject | Ontology Mapping | |
dc.subject | Dual-lingual Ontologies | |
dc.subject | Labor Market Research | |
dc.subject | Digitalization | |
dc.subject | Tools | |
dc.title | Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 2061 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 2059 | |
gi.conference.date | 24.-26. September 2024 | |
gi.conference.location | Wiesbaden | |
gi.conference.sessiontitle | Digitalization and AI for and in Education and Educational Research (DAI-EaR'24) |
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