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Semantic Web pp 121-137 | Cite as

Ontology Engineering for Biological Applications

  • Larisa N. Soldatova
  • Ross D. King

Abstract

Ontology engineering is one of the basic components of Semantic Web technology, Ontology engineering provides semantic clarity, explicitness, and facilitates the reusability of represented information and knowledge. We explain the major components of typical ontologies, and the principles behind and different approaches to ontology design. We also discuss the common problems encountered by ontology developers. As a demonstrative example we analyze the MGED (Microarray Gene Expression Data) ontology for describing microarray experiments. The MGED Ontology (MO) is a pioneering attempt to formalize the description of microarray experiments in biology. It has had a significant practical impact on the organization and execution of microarray experiments, as well as on the storage and sharing of microarray experiment results. However, analysis of MO reveals design problems that are common for other ontologies in biology. A generic ontology of experiments as a possible solution is discussed.

Key words

ontology ontology evaluation annotation experiment AI biosciences 

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Larisa N. Soldatova
    • 1
  • Ross D. King
    • 1
  1. 1.The Computer Science DepartmentThe University of WalesAberystwythUK

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