An infrastructure for ontology-based information systems in biomedicine: RICORDO case study | Zendy

Sarala Wimalaratne | Zendy; Pierre Gre | Zendy; Robert Hoehndorf | Zendy; Georgios V. Gkoutos | Zendy; Bernard de Bono | Zendy

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

Author(s) -

Sarala Wimalaratne,

Pierre Gre,

Robert Hoehndorf,

Georgios V. Gkoutos,

Bernard de Bono

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr662

Subject(s) - computer science , ontology , interoperability , knowledge base , inference , annotation , world wide web , information retrieval , data science , software engineering , database , artificial intelligence , philosophy , epistemology

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.

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