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The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.
GIN Server is a semantic middleware for easy data integration and automized analysis. The extendable architecture allows to plugin in data sources, analytics and event handling. This RDF Content Provider enables access to Semantic Web Content as an RDF file or SPAEQL endpoint.
Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.