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 …

Instant analysis of cybersecurity reports is a fundamental challenge for security experts as
an immeasurable amount of cyber information is generated on a daily basis, which …

Abstract Tabular data to Knowledge Graph matching is the process of assigning semantic
tags from knowledge graphs (eg, Wikidata or DBpedia) to the elements of a table. This task …

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 …

Table annotation is a key task to improve querying the Web and support the Knowledge
Graph population from legacy sources (tables). Last year, the SemTab challenge was …

A wealth of human knowledge is expressed in structured tables, across web pages, scientific
articles, spreadsheets, and databases. This wealth of knowledge is mirrored by diversity in …

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

Wikidata is a frequently updated, community-driven, and multilingual knowledge graph.
Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent …

This paper introduces an automatic semantic annotation system, namely MTab4Wikidata, for
the three semantic annotation tasks, ie, Cell-Entity Annotation (CEA), Column-Type …