Introduction

eagle-i is a distributed platform system 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.

The eagle-i platform comprises software components deployed network consists of a software stack installed at a participating institution (an _ eagle-i node)  _ and a central search application. eagle-i nodes are independent of each other. The central search application . Figure provides a unified view of the data across nodes.

Figure 1 provides a high-level overview of the eagle-i software components of a node:network.

Figure 1. Overview of the eagle-i software stack

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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.

The eagle-i software stack

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In March 2012, the eagle-i ontology was officially released. For more in-depth information about it, see the google code project site.

The eagle-i network

In the eagle-i network, institutional servers are independent of each other. A central search application provides a unified view across the institutional servers.

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Figure 3 shows an eagle-i deployment using SPIN.

Image RemovedFigure 3. Sample eagle-i deployment

Terminology

[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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