The vast nature of scientific publications brings out the importance of Literature-Based
Discovery (LBD) research that is highly beneficial to accelerate knowledge acquisition and …

Abstract Purpose: The late Don R. Swanson was well appreciated during his lifetime as
Dean of the Graduate Library School at University of Chicago, as winner of the American …

Background Causal feature selection is essential for estimating effects from observational
data. Identifying confounders is a crucial step in this process. Traditionally, researchers …

Objective To demonstrate and develop an approach enabling individual researchers or
small teams to create their own ad-hoc, lightweight knowledge bases tailored for specialized …

Abstract Information extraction can support novel and effective access paths for digital
libraries. Nevertheless, designing reliable extraction workflows can be cost-intensive in …

Information extraction can support novel and effective access paths for digital libraries.
Nevertheless, designing reliable extraction workflows can be cost-intensive in practice. On …

Background The scientific literature contains a wealth of information from different fields on
potential disease mechanisms. However, identifying and prioritizing mechanisms for further …

A central challenge for digital libraries is to provide effective access paths to ever-growing
collections of mostly textual, ie, unstructured information. The traditional, yet expensive way …

In general, research-related data are modeled using a relational database optimized for
transaction processing. In many cases, this solution is effective and efficient enough to …

Objective To explore the candidate genes that play significant roles in the interconnection
between abdominal aortic aneurysm (AAA) and type 2 diabetes mellitus (DM). Methods We …