DAGOBAH UI: A new hope for semantic table interpretation

The past few years have seen a growing research interest in Semantic Table Interpretation (STI), i.e. the task of annotating tables with elements dened in knowledge graphs (KGs). These semantic annotations make use of entities and standardized types and relations and can, in turn, support several downstream use cases for tabular data such as dataset profiling and indexing, recommender systems, or dataset search. In this paper, we introduce DAGOBAH UI, a user-friendly Web interface that enables to visualize, validate, and manipulate results of STI methods such as the DAGOBAH API. Through an interactive demonstration on real world datasets, we illustrate how such a UI can ease the adoption and mass usage of STI techniques by end-users. A video of the demonstration is available at https://tinyurl.com/dagobah-ui-demo. An access to the DAGOBAH API can also be requested at https:// developer.orange.com/apis/table-annotation (for logged in users).