GESIS Knowledge Graph: A blueprint for connecting a domain-specific knowledge graph to international research infrastructures
Zapilko, Benjamin; Biswas, Debanjali; Zhang, Yudong; Mutschke, Peter
- Publisher
- Zenodo
- Language
- en
Abstract
The GESIS Knowledge Graph (GESIS KG) is a comprehensive Research Knowledge Graph (RKG) that semantically links metadata on social science research resources available through GESIS Search. It connects datasets, publications, survey variables, and survey instruments with each other and to entities such as authors and concepts, enhancing research discoverability and reuse. By using W3C standards, common vocabularies, and persistent identifiers, GESIS KG ensures interoperability, provenance tracking, and supports reproducible research. Practical use cases include exploring related publications, analyzing citation patterns, and integrating metadata into external systems via standardized APIs and structured formats. To maximize accessibility and interoperability, GESIS KG is available through data dumps for offline use, is embedded in the GESIS Search portal, and supports integration across the ecosystem of the German National Research Data Infrastructure (NFDI) and other research infrastructures by provision of various APIs. A SPARQL endpoint allows complex queries and powers a live integration into systems like NFDI4DataScience Gateway or the KGI4NFDI service registry to support discovery and federation across diverse knowledge graphs. An OAI-PMH API enables metadata harvesting in standardized formats (e.g., DataCite, OpenAIRE), supporting harvesting and integration of metadata records of the GESIS KG into infrastructures from data aggregators. Efforts are underway to expand the OAI-PMH API to integrate with OpenAIRE and by doing so with the European Open Science Cloud (EOSC), potentially serving as a blueprint for connecting other NFDI data points to EOSC.
Full text
Objectives •Domain-specific KG representing scholarly metadata from the social sciences •Exposing automatically generated and manually curated links between resources •Capturing provenance of scholarly resources and semantic links •Based on established standards to ensure interoperability, machinereadability, and reusability of metadata in the web Contact: Benjamin Zapilko (benjamin.zap[email protected]rg) GESIS –Leibniz Institute for the Social Sciences GESIS Knowledge Graph: A blueprint for connecting a domain-specific knowledge graph to international research infrastructures Benjamin Zapilko, Debanjali Biswas, Yudong Zhang, Peter Mutschke Content Use case 1: Integrated discipline-specific search for the social sciences •Enabling search for relationships between social science research resources •Example: search for research data or survey variables cited in publications within the GESIS Search Use case 2: Search for resources through 3rd party research infrastructures •Breaking down data silos •Enabling cross-domain search, e.g., via federated queries •Example: search for specific topics across various KGs provided by different NFDI consortia within the KG registry provided by KGI4NFDI Use case 3: Tailored interfaces to strategically important 3rd parties •Collecting and ingesting relevant metadata from GESIS into other research infrastructures and multiplicators •Example: ingest metadata of methods related to datasets into the BERD Data Portal •Example: provide metadata to aggregators like OpenAIRE and EOSC 2008 German General Social Survey - ALLBUS 2004 10.4232/1.10 108 Rammstedt, Beatrice 2014 Haben hierarchische AltersPerioden-Kohorten-Modelle eine Zukunft? 0023-2653 2019 10.6102/zis76 issn type doi name type author year doi year nam e name year cites used in cited by gesis-bib152546 ZA3764 uses Scholarly Article Instrumen t Dataset type Rammstedt _Beatrice zis76 author name Lois_Daniel Lois, Daniel name Person type type Big Five Inventory (BFI-10) Publications 583085 Research Data 7546 Survey Variables 1395499 Survey Instruments 532 Organizations 20533 Persons 466265 Locations 28314 Concepts 18297 Publications to Publications 313899 Publications to Research Data 145382 Publications to Survey Variables 2954 Survey Variables to Research Data 1393842 Survey Instruments to Research Data 74 Survey Instruments to Publications 5813 Table 2: Link statistics Table 1: Numbers of scholarly resource types and entities Use case 1 Scholarly Resource Metadata GESIS Search, including GESIS Data Archive, GESIS-MISSY, GESISColectica , GESIS-SSOAR, GESIS Library, GESIS Research Data Bibliography , GESIS-GRIS, GESIS-CEWS, GESIS-ZIS, GESIS-Pretest, GESISGuides Manual Links GESIS Research Data Bibliography, GESIS-ZIS, GESIS Library Automatic Links Dataset Citation Detection Pipeline (GEFUREX), Publication Citation Detection Pipeline (OUTCITE), Variable Detection Pipeline (VADIS) Table 3: Data sources Use case 2 Use case 3 Interfaces and use cases GESIS KG website
