BioFuice: Mapping-based data integration in bioinformatics

Authors: 
Kirsten, Toralf
Rahm, Erhard
Year: 
2006
Language: 
English
Abstract in English: 
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.
Abstract: 
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.
Appeared / Erschienen in: 
Proc. of 3rd Int. Workshop on Data Integration in the Life Sciences (DILS)
Pubdate / Erscheinungsdatum: 
2006
Promoter / Gefördert durch: 
The work is supported by the German Research Foundation, grant BIZ 1/3-1.
Pages / Seitenanzahl: 
11