Forschungskolloquium des IWS: Data enrichment with Wikidata for scientometric applications
Vortrag, 10. Dezember 2019
Das Forschungskolloquium Informationswissenschaft richtet sich an alle Hochschulangehörigen (Professoren, Mitarbeiter, Studierende) sowie an externe Teilnehmer, die an den Arbeits- und Forschungsbereichen des Instituts für Informationswissenschaft Interesse haben. Ziel des Kolloquiums ist es, aus aktuellen Forschungsvorhaben, Projekten oder Kooperationen zu berichten.
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Data enrichment with Wikidata for scientometric applications
VortragWann?
- 10. Dezember 2019
- 15.15 Uhr bis 16.45 Uhr
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in meinen Kalender übertragen
BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VEVENT LOCATION:Campus Südstadt\, Claudiusstr. 1\, Raum Z28 DESCRIPTION: SUMMARY:Data enrichment with Wikidata for scientometric applications DTSTART:20191210T151500 DTEND:20191210T164500 DTSTAMP:20240418T194017 UID:66215b0166b15 END:VEVENT END:VCALENDAR
Wo?
Campus Südstadt, Claudiusstr. 1, Raum Z28
ReferentIn
Dr. Eva Seidlmayer
Anmeldung
keine Anmeldung notwendig
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Abstract: Science is a social field. In scientometric analyses, however, the agents of this social field are not sufficiently taken into account. What is mainstream in the social science and humanities is still missing in bibliometrics: A shift in the perspective from publications to authors. Therefore, the presented research deals with enriching bibliographic metadata with information on the authors of publications. In this way, scientometric projects approach an understanding of the motivation for collaboration or reception of another's research. In my talk I will introduce ”Take it personally - TIP”, a conceptual model and library currently under development, which aims to support the enrichment of publication databases with semantically related background information which resides elsewhere in the (semantic) web, such as Wikidata. The supplementary information enriches the original information in the publication databases and thus facilitates the creation of complex scientific knowledge graphs. Such enrichment helps to improve the scientometric analysis of scientific publications as they can also take social backgrounds of researchers into account and to understand social structure in research communities.