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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.
MOOD is a new MOO (MUD Object Oriented) style server, inspired by LambdaMOO. It IS NOT compatable to existing Lambda databases, and WILL make syntactic changes to the MOO programming language, and structural changes to MOO Objects.