Tables are probably the most natural way to represent relational data in various media and
formats. They store a large number of valuable facts that could be utilized for question …

Entity matching (EM), also known as entity resolution, fuzzy join, and record linkage, refers to
the process of identifying records corresponding to the same real-world entities from …

Search has become ubiquitous but that does not mean that search has been solved.
Enterprise search, which is broadly speaking the use of information retrieval technology to …

Given a table of data, existing systems can often detect basic atomic types (eg, strings vs.
numbers) for each column. A new generation of data-analytics and data-preparation …

Data preparation--the process of discovering, integrating, transforming, cleaning, and
annotating data--is one of the oldest, hardest, yet inevitable data management problems …

Mapping relationships, such as (country, country-code) or (company, stock-ticker), are
versatile data assets for an array of applications in data cleaning and data integration like …

In this report we describe the outcome of the First International Workshop on Professional
Search, held in co-location with SIGIR 2018. The workshop addressed the specific …

Existing work on knowledge discovery focuses on using natural language techniques to
extract entities and relationships from textual documents. However, today relational tables …

As data lakes become increasingly popular in large enterprises today, there is a growing
need to tag or classify data assets (eg, files and databases) in data lakes with additional …

We live in the digital era where content is produced every day [Dong and Srivastava, 2013]
due to the rapid expansion of technologies and the high accessibility of data in multiple …