GESIS Knowledge Graph (GESIS KG)

DOI

The GESIS Knowledge Graph (GESIS KG) represents metadata of all scientific resources available in the GESIS Search (https://search.gesis.org/) and its semantic relationships in an integrated and consistent form and makes them accessible for integration and reuse. Understanding relations and dependencies between scientific resources is crucial to capture provenance, ensure reproducibility of research and facilitate informed search across resources. Hence, the GESIS KG captures links between different scientific resources, e.g., links between data, publications, survey instruments, survey variables, and links between entities like authors and social science concepts. The GESIS KG is geared towards interoperability and uses established W3C standards and widely accepted vocabularies, such as schema.org, DDI, the NFDIcore Ontology among others to increase interoperability and reusability of data on the Web for both humans and machines, e.g., through APIs. On instance-level, we address interoperability by reusing PIDs from commonly used PID systems, interlinking the GESIS KG with other KG provided by GESIS as well within the NFDI. Find more information at https://data.gesis.org/gesiskg/ Detailed description of the files can be found in GESISKG_readme.txt Keywords: knowledge graph, semantic web, scholarly resource metadata, social sciences

Compilation/SynthesisCompilationSynthesis

Kompilation/SyntheseCompilationSynthesis

Identifier
DOI https://doi.org/10.7802/2878
Source https://search.gesis.org/research_data/SDN-10.7802-2878?lang=de
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=7d42aa8c327527b0b059de1a30fd62506ce01c7c0d0507fdaf23a16c9318dfc9
Provenance
Creator Biswas, Debanjali; Zapilko, Benjamin
Publisher GESIS Data Archive for the Social Sciences; GESIS Datenarchiv für Sozialwissenschaften
Publication Year 2025
Funding Reference [This work has been partially funded through the German Research Foundation (DFG) project NFDI4DS (no. 460234259)]
Rights Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de); Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
OpenAccess true
Contact http://www.gesis.org/
Representation
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Information Science