Tabular data often refers to data that is organized in a table with rows and columns. We
observe that this data format is widely used on the Web and within enterprise data …

Recently, there has been an increasing interest in extracting and annotating tables on the
Web. This activity allows the transformation of textual data into machine-readable formats to …

This paper presents MTab, an automatic tool for tabular data annotation with knowledge
graphs. MTab tool could provide helpful information for tabular data such as structural …

SemTab 2020 was the second edition of the Semantic Web Challenge on Tabular Data to
Knowledge Graph Matching, successfully collocated with the 19th International Semantic …

This article proposes a notion of parametric simulation to link entities across a relational
database 𝒟 and a graph G. Taking functions and thresholds for measuring vertex closeness …

Tabular data plays a pivotal role in various fields, making it a popular format for data
manipulation and exchange, particularly on the web. The interpretation, extraction, and …

In this paper, we present the latest improvements of the DAGOBAH system that performs
automatic pre-processing and semantic interpretation of tables. In particular, we report …

This paper presents the results of KGCODE-Tab in the tabular data to knowledge graph
matching contest SemTab 2022. As an efficient tabular data linking system, KGCODE-Tab is …

Relational tables are widely used to store information about entities and their attributes and
they are the de-facto format for training AI algorithms. Numerous Semantic Table …

There are millions of high-quality tables available in Wikipedia. These tables cover many
domains and contain useful information. To make use of these tables for data discovery or …