Introduction to ontologies in biomedicine: from powertools to assistants
Part 4. Bioinformatics
4.7. Structuring and Integrating Data
Published Online: 15 APR 2005
Copyright © 2005 John Wiley & Sons, Ltd
Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics
How to Cite
Altman, R. B. 2005. Introduction to ontologies in biomedicine: from powertools to assistants. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics.
- Published Online: 15 APR 2005
Computer science is a complex discipline, but at its core can be summarized as the study of two interrelated concepts: algorithms and data structures. Data structures organize information to enable algorithms to work effectively. Because algorithms seem to “do the work”, data structures are often described as secondary accessories to effective algorithms. However, in many situations, an appropriate data structure allows the associated algorithms to be very simple or even trivial. Ontologies are data structures that represent knowledge, and so can be called “knowledge structures” (Schulze-Kremer, 2002). They have received attention recently as a critical component of the computational infrastructure of biomedicine. This section of the encyclopedia is devoted to reviewing the state of the art of ontology construction and use. In this introduction, I place this work in the larger picture of biomedical computation.
- knowledge representation;
- artificial intelligence;