Background There is currently a gap between the rich and expressive collection of
published biomedical ontologies, and the natural language expression of biomedical papers …

We propose the application of a novel sub-ontology extraction methodology for achieving
interoperability and improving the semantic validity of information retrieval in the medical …

Objectives: To select, present, and summarize the best papers published in 2017 in the field
of Knowledge Representation and Management (KRM). Methods: A comprehensive and …

Ontologies are modeled using specific concepts of the knowledge domain as well as using
generic concepts. Life science ontologies like MeSH, Agrovoc, and DrugBank are helpful for …

Abstract Knowledge Engineering allows to automate entity recognition and relation
extraction from clinical texts, which in turn can be used to facilitate clinical practice guideline …

We present a system for ontology based annotation and indexing of biomedical data; the key
functionality of this system is to provide a service that enables users to locate biomedical …

Background: Biosample collections and biobank information systems have become a key
enabler for medical research. Therefore it is important to identify potentially relevant …

Objective In this work, we propose an ontology-driven approach to identify events and their
attributes from episodes of care included in medical reports written in Italian. For this …

Recently, both researchers and practitioners have explored the possibility of semantically
annotating large and continuously evolving collections of biomedical texts such as research …

The range of publicly available biomedical data is enormous and is expanding fast. This
expansion means that researchers now face a hurdle to extracting the data they need from …