Background: The process of adding new knowledge in the form of rules to already running
Clinical Decision Support Systems (CDSSs) in hospitals is extremely costly and time …

Temporal information is fundamental in model-based fault diagnosis, and the alarm-
processing problem is to interpret the alarm sequences to infer the type and time of fault …

Medical knowledge representation and management is concerned with how to organise the
often vague clinical experience of medical staff required for computable models. However …

Time series interpretation aims to provide an explanation of what is observed in terms of its
underlying processes. The present work is based on the assumption that the common …

Fault diagnosis, including fault detection and isolation, is a critical task for computer
networks. Among the various techniques used for online system-level diagnosis, we are …

This PhD thesis contributes to the newly emerged, growing body of scientific work on the use
of News Analytics in Finance. Regarded as the next significant development in Automated …

In this paper we present a general framework for time-aware decision support systems. The
framework uses the state-of-the-art tOWL language for the representation of temporal …

Time is ubiquitous. Accounting for time and its interaction with change is crucial to modeling
the dynamic world, especially in domains whose study of data is sensitive to time such as in …

Ontologies are widely used in the biomedical community, which has built standard reference
ontologies for various aspects of medicine. These projects have produced broad …

Nowadays, mobile devices offer new methods to retrieve information everywhere. In the
nursing area, this technology is highly suitable due to the ubiquity in this profession. In this …