The discipline that studies biomedical information and knowledge, focusing in particular on their structure, acquisition, integration, management, and optimal use. It adopts and applies results from a variety of other disciplines including Information Science, Computer Science, Cognitive Science, Statistics and Biometrics, Mathematics, Artificial Intelligence, Operations Research, and basic and clinical Health Sciences.
Published in Chapter:
Clinical and Biomolecular Ontologies for E-Health
Mario Ceresa (Politecnico di Milano, Italy)
Copyright: © 2009
|Pages: 15
DOI: 10.4018/978-1-60566-002-8.ch011
Abstract
This chapter mainly focuses on biomedical knowledge representation and its use in biomedicine. It first illustrates the existent more relevant bioinformatics resources and why they need to be better integrated. Then it describes what the main problems that machines can encounter in processing the factual biomedical knowledge are, what terminologies, classifications and ontologies are, and why they could help in better organizing and exploiting the bioinformatics resources available online. The authors hope that a concise perspective of the field and a list of selected resources, commented with their scope and usability, may help interested people in quickly understanding the main principles of knowledge representation in biomedicine and its high relevance for modern biomedical research and e-health.