To bridge the gap between users and data, numerous text-to-SQL systems have been
developed that allow users to pose natural language questions over relational databases …

Background Enhancing interoperability of bioinformatics knowledge bases is a high-priority
requirement to maximize data reusability and thus increase their utility such as the return on …

Natural Language to SQL systems (NL-to-SQL) have recently shown a significant increase
in accuracy for natural language to SQL query translation. This improvement is due to the …

The problem of natural language processing over structured data has become a growing
research field, both within the relational database and the Semantic Web community, with …

Zusammenfassung n this paper, we propose a new system called WannaDB that allows
users to interactively perform structured explorations of text collections in an ad-hoc manner …

Text-to-SQL systems (also known as NL-to-SQL systems) have become an increasingly
popular solution for bridging the gap between user capabilities and SQL-based data access …

There is an increasing gap between fast growth of data and the limited human ability to
comprehend data. Consequently, there has been a growing demand of data management …

We study the data sparsity problem for data generated from an integration system. We
approach the problem from a textual information extraction perspective and propose to …

Interactive Data Exploration (IDE) systems are technologies that facilitate the understanding
of large datasets by providing high level easy-to-use operators. Compared to traditional …

As companies store, process, and analyse bigger and bigger volumes of highly
heterogeneous data, novel research and technological challenges are emerging. Traditional …