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eagle-i is a distributed platform for creating and sharing semantically rich data. It is built around semantic web technologies and follows linked open data principles. In its current incarnation and operational deployment, eagle-i focuses on biomedical research resources. However, thanks to its ontology-centric architecture, the platform can be adapted to other domains.

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eagle-i resources are captured and stored as RDF data that conforms to a domain resource ontology. At the core of the eagle-i software stack is an RDF repository that provides services to institutional data collection applications, to an institutional search application and to the central search application. Data collection applications exist for both manual annotation and bulk data processing.

The eagle-i ontology drives the data collection and search user interfaces and internal mechanisms, and is used for structuring and validating data in the repository and for indexing resources. This design choice allows applications to seamlessly adapt to ontology evolution, and provides ontology developers with a mechanism to rapidly test and refine their models.

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*\[1\] eagle-i resource instance *\- a collection of RDF statements about the same subject or about an _embedded instance_ \[2\] subject, plus the display labels of all predicates and objects used in these statements.

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