Analysis and Visualisation of RDF Resources in Ondex

An increasing number of biomedical resources provide their information on the Semantic Web and this creates the basis for a distributed knowledge base which has the potential to advance biomedical research [1]. This potential, however, cannot be realised until researchers from the life sciences can interact with information in the Semantic Web. In particular, there is a need for tools that provide data reduction, visualization and interactive analysis capabilities. Ondex is a data integration and visualization platform developed to support Systems Biology Research [2]. At its core is a data model based on two main principles: first, all information can be represented as a graph and, second, all elements of the graph can be annotated with ontologies. This data model is conformant to the Semantic Web framework, in particular to RDF, and therefore Ondex is ideally positioned as a platform that can exploit the semantic web. The Ondex system offers a range of features and analysis methods of potential value to semantic web users, including: An interactive graph visualization interface (Ondex user client), which provides data reduction and representation methods that leverage the ontological annotation. A suite of importers from a variety of data sources to Ondex (http://ondex.org/formats.html) A collection of plug-ins which implement graph analysis, graph transformation and graph-matching functions. An integration toolkit (Ondex Integrator) which allows users to compose workflows from these modular components In addition, all importers and plug-ins are available as web-services which can be integrated in other tools, as for instance Taverna [3].