Default STI Approach

MantisTable UI intagrate a default STI approach: s-elBat. If you want to integrate your approach, please follow the instuction in the External STI Approach page.

s-elBat

s-elBat (the name comes from taBle-s and Semantic Entity Linking to BAtch Table) is a supervised and unsupervised STI approach.it incorporates various strategies to address all STI challenges.

This new approach, s-elBat, builds upon and enhances our previous STI approaches (Cremaschi et. al, 2019 - Cremaschi et. al, 2020 - Avogadro et al., 2021). Based on the experience gained from those solutions and their involvement in SemTab Challenge, it integrates a feature vector-based entity disambiguation approach. This approach combines heuristic and machine learning techniques to achieve precise disambiguation results.