Skip to main content

Milestone 9: Social Memory

 

As part of this milestone, two key knowledge graphs (KGs) were developed: the OKG includes social memories from contemporary data from twitter, and the MIRA-KG includes historical scientific data described in research articles. The OKG integrates tweet metadata and frames from social media discussions on inequality, helping to understand the discourse on this topic. Meanwhile, the MIRA-KG focuses on research related to socioeconomic history and health inequality, organizing research questions and findings from the scientific literature. Both resources are shared as open data on Zenodo, promoting accessibility and reuse by the research community.

 

The OKG 

The Observatory KG (OKG) is a knowledge graph which populates the Observatory Integrated Ontology (OBIO) (https://w3id.org/okg/obio-ontology/). The ontology integrates tweet metadata from tweets on inequality, and frames (meaning) extracted by parsing tweet texts.

Related publication: Blin, I., Stork, L., Spillner, L., & Santagiustina, C. R. M. A. (2023). OKG: A Knowledge Graph for Fine-grained Understanding of Social Media Discourse on Inequality (1.0.0) [Data set]. 

Article doi: https://doi.org/10.1145/3587259.3627557

Zenodo link: https://doi.org/10.5281/zenodo.10034210

 

The MIRA-KG 

The MIRA-KG is a knowledge graph created to get a grasp of research done in understanding our socioeconomic history. The resource populates the MIRA ontology (https://w3id.org/mira/ontology/), which links observations from society to the various steps of the research question derivation process. Specifically, the MIRA-KG is populated with research questions extracted from the scientific literature on health inequality.

Related publication: Stork, L., & Zijdeman, R. (2024). MIRA-KG: A Knowledge Graph of Hypotheses and Findings for Social Demography Research (Version 1.0.0) [Data set]. The Extended Semantic Web Conference (ESWC), Hersonissos, Greece. 

Article doi: https://doi.org/10.1007/978-3-031-60635-9_12

Zenodo link: https://doi.org/10.5281/zenodo.11316550