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Pharmacovigilance plays a key role in the healthcare domain through the assessment, monitoring and discovery of interactions amongst drugs and their effects in the human organism. However, technological advances in this field have been slowing down over the last decade due to miscellaneous legal, ethical and methodological constraints. Pharmaceutical companies started to realize that collaborat...

In this paper, we describe a model for representing scientific knowledge of risk factors in medicine in an explicit format which enables its use for automated reasoning. The resulting model supports linking the conclusions of up-to-date clinical research with data relating to individual patients. This model, which we have implemented as an ontology-based system using Linked Data, enables the ca...

For several decades, innumerous appeals and reflections on how to build the nursing science and achieve visibility in the scientific world led researchers to make efforts to produce knowledge that contributed to the well-being of people, improving their quality of life, relieving their suffering and transforming the reality in which we live. In addition to knowledge production, it was necessary...

In this paper, we review AI research on computational discovery and its recent application to the discovery of new scientiic knowledge. We characterize ve historical stages of the scientiic discovery process , which we use as an organizational framework in describing applications. We also identify ve distinct steps during which developers or users can innuence the behavior of a computational di...

Research on computational models of scientific discovery investigates both the induction of descriptive laws and the construction of explanatory models. Although the work in law discovery centers on knowledge-lean approaches to searching a problem space, research on deeper modeling tasks emphasizes the pivotal role of domain knowledge. As an example, our own research on inductive process modeli...

The development of scientific knowledge is compared with the evolution of biological systems. Just as every biological system inevitably contains fossils our physics syllabus contains obsolete concepts and methods. It is argued that the potential for simplifying the teaching of science by eliminating these historical burden is high. Several examples for obsolete concepts in physics are given.