BioFuice: Mapping-based data integration in bioinformatics
Proc. of 3rd Int. Workshop on Data Integration in the Life Sciences (DILS), Springer LNCS 4075, 2006
Futher information: http://lips.informatik.uni-leipzig.de/pub/2006-6
We introduce the BioFuice approach for integrating data from different private and public data sources and ontologies. BioFuice follows a peer-to-peer-like data integration based on bidirectional mappings. Sources and mappings are associated with a domain model to support a semantically meaningful interoperability. BioFuice extends the generic iFuice integration platform which utilizes specific operators for data fusion and workflow-like script programs. BioFuice supports explorative data analysis and query and search capabilities. We outline the integration approach by an illustrating scenario, the architecture of BioFuice and its query interface.