Our industrialised societies are heavily dependent on standards. That we can safely assume
that electric plugs of a certain kind, independently of their manufacturer, fit into certain …

The ongoing rapid growth of diversity of data and their wide use to solve different complex
tasks requires more sophisticated techniques of knowledge management and automated …

Background and aims Capsule endoscopy (CE) has revolutionized small-bowel (SB)
investigation. Computational methods can enhance diagnostic yield (DY); however …

Information related to the COVID-19 pandemic ranges from biological to bibliographic, from
geographical to genetic and beyond. The structure of the raw data is highly complex, so …

Gastrointestinal (GI) tract disorders are a significant public health issue. They are becoming
more common and can cause serious health problems and high healthcare costs. Small …

Mental and behavioral disorders represent a significant portion of the public health burden
in all countries. The human cost of these disorders is immense, yet treatment options for …

This work aims to provide information, guidelines, established practices and standards, and
an extensive evaluation on new and promising technologies for the implementation of a …

Accessing and utilizing enterprise or Web data that is scattered across multiple data sources
is an important task for both applications and users. Ontology-based data integration, where …

A major challenge in information management today is the integration of huge amounts of
data distributed across multiple data sources. A suggested approach to this problem is …

Background Semantic interoperability of eHealth services within and across countries has
been the main topic in several research projects. It is a key consideration for the European …