Curating Tabular Datasets using Knowledge Graphs

Abstract

Tabular datasets are composed of tables. These tables are used to structure and organize data. However, considering tables individually may make it difficult to identify some information that can be highlighted by linking with other information. To solve this problem, tabular datasets are curated. This curation consists of creating/updating tabular datasets and annotating them using Knowledge Graphs. In this paper, we present a generic workflow that is generally used during the curation process. The example of the creation of Open Research Knowledge Graph comparisons tables is presented to illustrate.