Suchen und Finden von Forschungsinformationen leichter gemacht

Martin Dittgen, Lina-Jeanette Metzger and Ulrich Thomsen
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Martin Dittgen: d-fine
Lina-Jeanette Metzger: Institute for Employment Research (IAB), Nuremberg, Germany
Ulrich Thomsen: Institute for Employment Research (IAB), Nuremberg, Germany ; IT-Systemhaus der BA

No 202402 (de), FDZ-Methodenreport from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

Abstract: "In this article, we would like to introduce the newly developed search infrastructure that we have built at the *Institute for Employment Research (IAB)* to create optimized access to the metadata and background information of the research database. The new search function is also intended to contribute to a potential increase in research productivity. The infrastructure is based on Elasticsearch with an Angular front end. We extend the basic functionality using Flask microservices, which use word2vec models to promote search creativity and transformer models for abstract searching, even across different languages. In this way, we aim to show how easily and effectively modern NLP models can be combined with traditional search ideas, while simultaneously providing a blueprint for appropriate implementation." (Author's abstract, IAB-Doku) ((en))

Keywords: Bundesrepublik Deutschland; IAB-Open-Access-Publikation; Natural Language Processing; Metadaten; Bundesagentur für Arbeit; Datenzugang; Fachinformation; Forschungsdatenzentrum; IAB; Informationsgewinnung; Informationsrückgewinnung; Infrastruktur; Anwendung; Suchverfahren; Arbeitsmarktforschung (search for similar items in EconPapers)
Pages: 16 pages
Date: 2024-05-13
New Economics Papers: this item is included in nep-ger
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https://doi.org/10.5164/IAB.FDZM.2402.de.v1

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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabfme:202402(de)

DOI: 10.5164/IAB.FDZM.2402.de.v1

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