An infrastructure for ontology-based information systems in biomedicine: Ricordo case study

Sarala M. Wimalaratne*, Pierre Grenon, Robert Hoehndorf, Georgios V. Gkoutos, Bernard de Bono

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


The article presents an infrastructure for supporting the semantic interoperability of biomedical resources based on the management (storing and inference-based querying) of their ontology-based annotations. This infrastructure consists of: (i) a repository to store and query ontology-based annotations; (ii) a knowledge base server with an inference engine to support the storage of and reasoning over ontologies used in the annotation of resources; (iii) a set of applications and services allowing interaction with the integrated repository and knowledge base. The infrastructure is being prototyped and developed and evaluated by the RICORDO project in support of the knowledge management of biomedical resources, including physiology and pharmacology models and associated clinical data.

Original languageEnglish (US)
Article numberbtr662
Pages (from-to)448-450
Number of pages3
Issue number3
StatePublished - Feb 2012
Externally publishedYes

Bibliographical note

Funding Information:
Funding: European Commission, grant agreement number (248502) (RICORDO) and 223920 (VPH NoE) within the 7th Framework Programme.

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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