Toward using bio-ontologies in the Semantic Web: trade-offs between ontology languages

Abstract
Ontology languages for the Semantic Web have their strengths and weaknesses, in particular in the light of deploying them for biological and medical information systems. We survey and compare the Description Logics-based OWL languages, and the DL-Lite and DLR families of languages. Language choices that an ontology developer has to make are, among others, expressivity with n-ary relations (where n > 2) and more role properties versus ontology usage for data-intensive tasks. Guidelines are suggested to facilitate choosing the language best fitted for a task.
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