This paper describes s-elBat, a Semantic Table Interpretation approach. The approach inherits and improves the part of the techniques belonging to the MantisTable, an approach used and tested in previous editions of the SemTab challenge. s-elBat adds an innovative and optimised lookup approach for generating candidate entities for the annotation.
Cremaschi, M., Avogadro, R., Chieregato, D. (2022). s-elBat: a Semantic Interpretation Approach for Messy taBle-s. In Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 21st International Semantic Web Conference (ISWC 2022) (pp.59-71). CEUR-WS.
s-elBat: a Semantic Interpretation Approach for Messy taBle-s
Cremaschi M.;Avogadro R.;
2022
Abstract
This paper describes s-elBat, a Semantic Table Interpretation approach. The approach inherits and improves the part of the techniques belonging to the MantisTable, an approach used and tested in previous editions of the SemTab challenge. s-elBat adds an innovative and optimised lookup approach for generating candidate entities for the annotation.
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