The aim of the Knowledge Graph (KG) infrastructure is to build an infrastructure for GESIS-wide linking of social science research data and resources and their interoperability and findability on the Web. This is based on the development of a social science knowledge graph which links the GESIS data collections among themselves and these with established vocabularies, social science data sources and established knowledge bases on the web such as web sites like Wikidata.
The KG will also be enriched by extracted entities such as variables and links, for example, between publications and research data. Survey data as well as digital behavioral data are taken into account. The rich information in the Social Science Knowledge Graph will be integrated into GESIS services such as the GESIS-wide search to support users, e.g. during their search for research data.
Based on this, additional knowledge graphs will be provided and linked in the infrastructure that hold data, entities and their relationships relevant to social science research topics, such as ClaimsKG, a graph of annotated claims extracted from fact checking websites.
For the development of the knowledge graph infrastructure in general and the social science knowledge graph in particular, methods of information extraction, entity interlinking, coreference resolution and data fusion are being investigated and applied.