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Leveraging Mathematical Subject Information to Enhance Bibliometric Data

Koutraki, Maria; Teschke, Olaf; Sack, Harald; Müller, Fabian; Bannister, Adam

The field of mathematics is known to be especially challenging from a bibliometric point of view. Its bibliographic metrics are especially sensitive to distortions and are heavily influenced by the subject and its popularity. Therefore, quantitative methods are prone to misrepresentations, and need to take subject information into account. In this paper we investigate how the mathematical bibliography of the abstracting and reviewing service Zentralblatt MATH (zbMATH) could further benefit from the inclusion of mathematical subject information MSC2010. Furthermore, the mappings of MSC2010 to Linked Open Data resources have been upgraded and extended to also benefit from semantic information provided by DBpedia.

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Verlagsausgabe §
DOI: 10.5445/IR/1000092967
Veröffentlicht am 23.04.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000092967
Erschienen in SciEDSC 2017-Scientometrics and Enabling Decentralised Scholarly Communication. Joint Proceedings of the 1st International Workshop on Scientometrics and 1st International Workshop on Enabling Decentralised Scholarly Communication co-located with 14th Extended Semantic Web Conference (ESWC 2017), Portorož, Slovenia, May 28th, 2017
Verlag RWTH, Aachen
Serie CEUR workshop proceedings ; 1878
Schlagwörter scientometrics, bibliometrics, linked data, mathematics
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