An analysis of computer science in OJAs with a dual-lingual ontology approach

bibb.id783371
bibb.participationBIBB-Mitarbeiterde
dc.contributor.authorTiemann, Michael [Verfasser]de
dc.contributor.authorDörpinghaus, Jens [Verfasser]de
dc.contributor.authorShivashankar, Venkatesh Hariharapura [Verfasser]de
dc.date.accessioned2025-03-18T13:39:24Z
dc.date.available2025-03-18T13:39:24Z
dc.date.issued2024
dc.description.abstract„Increasing 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.“ (authors‘ abstract; BIBB-Doku)de
dc.description.statementofresponsibilityMichael Tiemann, Jens Dörpinghaus, and Venkatesh Hariharapura Shivashankarde
dc.description.versionreferiertde
dc.format.extentSeite 2047-2058de
dc.format.illustrationIllustrationende
dc.format.mediumElektronische Ressourcede
dc.format.mediumSammelbandbeitragde
dc.identifier.uriDOI:10.18420/inf2024_178
dc.identifier.urihttps://bibb-dspace.bibb.de/jspui/handle/BIBB/783371
dc.language.isoende
dc.rdacarrier.codecrde
dc.rdacarrier.sourcerdacontentde
dc.rdacarrier.termOnline-Ressourcede
dc.rdacontent.codetxtde
dc.rdacontent.sourcerdacontentde
dc.rdacontent.termTextde
dc.rdamedia.codecde
dc.rdamedia.sourcerdacontentde
dc.rdamedia.termComputermediende
dc.relation.ispartofINFORMATIK 2024 - Lock in or log out? Wie digitale Souveränität gelingt; 24.-26. September 2024 Wiesbaden / Maike Klein [Hrsg.] ; Daniel Krupka [Hrsg.] ;Cornelia Winter [Hrsg.] ; Martin Gergeleit [Hrsg.] ;Martin Ludger [Hrsg.]
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc600de
dc.subject.otherStellenanzeigede
dc.subject.otherDatenanalysede
dc.subject.otherDatenbankde
dc.titleAn analysis of computer science in OJAs with a dual-lingual ontology approachde

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