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Lecture Notes in Computer Science
The creation of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab) aims at filling this gap. ... Tabular data to Knowledge Graph matching is the process of assigning semantic tags from knowledge graphs (e.g., Wikidata or DBpedia) to the elements of a table. ... We would like to thank the challenge participants, the ISWC & OM organisers, the AIcrowd team, and our sponsors (SIRIUS and IBM Research) that played a key role in the success of SemTab. ...doi:10.1007/978-3-030-49461-2_30 fatcat:b47k6i6a7vclppvwm33jzem23e
We demonstrate the flexibility of our benchmark by focusing on several variants of two crucial data integration tasks, Schema Matching and Entity Resolution. ... We have recently witnessed impressive results in specific data integration tasks, such as Entity Resolution, thanks to the increasing availability of benchmarks. ... Special thanks to Vincenzo di Cicco who contributed to implement the Carbonara extraction system. ...arXiv:2101.11259v2 fatcat:pjn2mtdplffktnx2fogdkh6tdq
Combining mapping rules and functions represents a powerful formalism to specify pipelines for integrating data into a knowledge graph transparently. ... Surprisingly, these formalisms are not fully adapted, and many knowledge graphs are created by executing ad-hoc programs to pre-process and integrate data. ... SemTab 4 is an effort in benchmarking systems dealing with the tabular data to KG matching problem and present existing challenges  . ...arXiv:2112.07493v2 fatcat:j36jgcgjerha5aozjmoplpc5yy
to the matches of a local football team. ... How is the acquired knowledge returned to the users of these systems? ... (i) Knowledge graphs are created from tabular data, other knowledge graphs and semi-structured data. ...doi:10.15488/11043 fatcat:4scfeipf7vbkzlf4nkobgxa57i