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An analysis of Computer Science in OJAs with a dual-lingual ontology approach

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dc.contributor.authorTiemann, Michael
dc.contributor.authorDörpinghaus, Jens
dc.contributor.authorShivashankar, Venkatesh Hariharapura
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.abstractIncreasing globalization of the Internet has led to a growing need for the processing of data in multiple languages. This has resulted in a significant increase in the amount of multilingual data available on the web, presenting a significant challenge for accessing, processing, and integrating data from different language sources. An ontology provides a shared and precise source for system interoperability and the reuse of knowledge bases. The objective of this study is to develop an efficient approach for mapping and enriching cross-domain, dual-lingual ontologies. In this case, we will combine the Computer Science Ontology (CSO) and DBpedia. The resulting taxonomy will be analyzed using a German online job advertisement dataset of 3,567,240 records to identify trends in the development and/or requirement of tools in the Computer Science domain. In order to achieve this, we employ a comparative analysis of two distinct approaches: a holistic, hierarchical approach and a precision-driven approach. The former considers the child-parent relation of the ontology, whereas the latter solely identifies those tools directly associated with a topic in the CSO.en
dc.identifier.doi10.18420/inf2024_178
dc.identifier.eissn2944-7682
dc.identifier.isbn978-3-88579-746-3
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45156
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.subjectOJAs
dc.titleAn analysis of Computer Science in OJAs with a dual-lingual ontology approachen
dc.typeText/Conference Paper
gi.citation.endPage2058
gi.citation.publisherPlaceBonn
gi.citation.startPage2047
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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