title: An infrastructure for ontology-based information systems in biomedicine: RICORDO case study.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  The RICORDO toolkit and its source code are freely available from http://ricordo.eu/relevant-resources.
  
  
  BACKGROUND
  sarala@ebi.ac.uk.
authors: European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK. sarala@ebi.ac.uk
authors: Sarala M
authors: SM
authors: Wimalaratne
authors: Pierre
authors: P
authors: Grenon
authors: Robert
authors: R
authors: Hoehndorf
authors: Georgios V
authors: GV
authors: Gkoutos
authors: Bernard
authors: B
authors: de Bono
mesh_terms: D016208:Databases, Factual; D006321:Heart / Q000502:physiology; D006801:Humans; D016247:Information Storage and Retrieval; D051188:Knowledge Bases; D011381:Programming Languages; D012660:Semantics