A table is composed of data values that are organized in rows and columns providing
implicit structural information. A table is usually accompanied by secondary information such …

We describe the development, characteristics and availability of a test collection for the task
of Web table retrieval, which uses a large-scale Web Table Corpora extracted from the …

A key obstacle in automated analytics and meta-learning is failing to recognize when
different datasets contain measurements of the same variable. Because provided attribute …

Tabular data analysis is performed every day across various domains. It requires an
accurate understanding of field semantics to correctly operate on table fields and find …

Table search aims to retrieve a list of tables given a user's query. Previous methods only
consider the textual information of tables and the structural information is rarely used. In this …

The increasing availability of structured data on the web makes searching for data an
important and timely topic. This report presents the motivation, output, and research …

Abstract Knowledge Graphs have emerged as a core technology to aggregate and publish
knowledge on the Web. However, integrating knowledge from different sources, not …

Knowledge graphs have emerged as a core technology to publish, share, and integrate data
on the Web. Contrary to traditional data storage solutions, such as relational databases, one …

A lot of people nowadays rely on datasets for their work: data journalists need datasets to tell
a good story, researchers use datasets for their research experiments. With increasing …