Data heterogeneity is a pressing issue and is further compounded if we have to deal with
data from textual documents. The unstructured nature of such documents implies that …

Literature-based discovery (LBD) mines existing literature in order to generate new
hypotheses by finding links between previously disconnected pieces of knowledge …

Background and objective The adoption of new technologies in clinical care systems has
propitiated the availability of a great amount of valuable data. However, this data is usually …

Background: Data catalogues are used in multiple domains to provide an overview of
databases' characteristics without releasing the actual data. Despite the existence of several …

With the constant rise of data volumes in many disciplines, various new Big data
management systems have emerged to provide scalable tools for efficient data integration …

Data Interoperability is a critical part of achieving healthcare interoperability. In this paper,
we present a novel methodology for automating the schema matching process at attribute …

The life sciences are both inherently complicated, because of the large number of different
elements involved, and complex, because of the strong interdependence of these elements …

The vision of natural language interfaces to databases (NLIDBs) is to make data stores more
accessible for a wide range of non-tech savvy end users with the ultimate goal to talk to a …

The increasing use of Semantic Web technologies in the life sciences, in particular the use
of the Resource Description Framework (RDF) and the RDF query language SPARQL …

Semantic web standards have shown importance in the last 20 years in promoting data
formalization and interlinking between the existing knowledge graphs. In this context …