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 …

Tables are powerful and popular tools for organizing and manipulating data. A vast number
of tables can be found on the Web, which represent a valuable knowledge resource. The …

Relational tables on the Web store a vast amount of knowledge. Owing to the wealth of such
tables, there has been tremendous progress on a variety of tasks in the area of table …

In the recent years, different Web knowledge graphs, both free and commercial, have been
created. While Google coined the term “Knowledge Graph” in 2012, there are also a few …

Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

We define the table union search problem and present a probabilistic solution for finding
tables that are unionable with a query table within massive repositories. Two tables are …

Data scientists are tasked with obtaining insights from data. However, suitable data is often
not immediately at hand, and there may be many potentially relevant datasets in a data lake …

The Web contains vast amounts of HTML tables. Most of these tables are used for layout
purposes, but a small subset of the tables is relational, meaning that they contain structured …

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 …

Existing techniques for unionable table search define unionability using metadata (tables
must have the same or similar schemas) or column-based metrics (for example, the values …