Design for Data Structures: Data Unification and Federation with Wikibase
Hiroki Uematsu, Phuc Nguyen, Hideaki Takeda · 2022 IEEE International Conference on Big Data (Big Data) · 2022
Thanks to the open government initiative movement, many base registries have been made available and beneficial for all citizens to ensure accountability and transparency. All data are easy to access and process by people for effective, efficient public oversight. However, most base registries publish their data in a different data model or structure. As a result, building an AI system to utilize these data is challenging since they are machine-unreadable, poorly managed, and scattered. This paper proposes a design method for base registry data structures that uses unification and federation to improve the accessibility and availability of data. We also use Wikibase as an underlying knowledge graph to inherit common sense knowledge available in Wikidata to improve its usability.