DAGOBAH: Enhanced Scoring Algorithms for Scalable Annotations of Tabular Data

Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Thomas Labbé, Pierre Monnin, Raphaël Troncy. DAGOBAH: Enhanced Scoring Algorithms for Scalable Annotations of Tabular Data. In Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona, editors, Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), Virtual conference (originally planned to be in Athens, Greece), November 5, 2020. Volume 2775 of CEUR Workshop Proceedings, pages 27-39, CEUR-WS.org, 2020. [doi]

Abstract

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