Table Type Detection
1 papers with code • 1 benchmarks • 1 datasets
Table Type Detection is the task of predicting the semantic type of a table and is a subtask of Table Annotation. The labels used for annotation in this task are types from vocabularies like DBpedia, Schema.org etc. like Music or Hotel. The semantic type of a table can indicate the content of a table. For example, if the semantic type of a table is Music it indicates that the table consists of music records/entities.
T2Dv2
Most implemented papers
Matching web tables to DBpedia-A feature utility study
This paper contributes to improve the understanding of the utility of different features for web table to knowledge base matching by reimplementing different matching techniques as well as similarity score aggregation methods from literature within a single matching framework and evaluating different combinations of these techniques against a single gold standard.
