Kasprzik, Anna
Preferred name
Kasprzik, Anna
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Item type:Publication, The automation of subject indexing and the role of metadata in times of Large Language Models(euroCRIS, 2024-05-15)So far, virtually every system that facilitates access to and exploration of information resources – library catalogues, discovery systems, research information systems – has metadata as a central component. Accordingly, generating and curating high-quality metadata has always been a core activity of information infrastructure institutions, especially libraries. This includes creating or extracting semantic metadata, also called subject indexing, i.e., the enrichment of metadata records for textual resources with descriptors from a standardized, controlled vocabulary. Due to the proliferation of digital documents, it is no longer possible to annotate every single document intellectually, which generates the need to explore the potentials of automation on every level. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Research Core Dataset (KDSF) in Linked Data context(euroCRIS, 2018-06-15); ; This paper describes our efforts to implement the Research Core Dataset (“Kerndatensatz Forschung”; KDSF) as an ontology in VIVO. KDSF is used in VIVO to record the required metadata on incoming data and to produce reports as an output. While both processes need an elaborate adaptation of the KDSF specification, this paper focusses on the adaptation of the KDSF basic data model for recording data in VIVO. In this context, the VIVO and KDSF ontologies were compared with respect to domain, syntax, structure, and granularity in order to identify correspondences and mismatches. To produce an alignment, different matching approaches have been applied. Furthermore, we made necessary modifications and extensions on KDSF classes and properties.