In our quest to replace answers in molecular sciences by recipes to get answers, the semantic web technologies play the important role of giving meaning to numbers and characters. The Resource Description Framework (RDF) complements (and not replaces) earlier work with eXtensible Markup Language (XML) applications by providing a more clear separation between syntax and meaning. This creates an environment where multiple serialization formats can be used, that grows and shrinks in complexity where needed, and, for example, that can be easily embedded in document formats like HTML. We here present recent work in the dissemination and prediction of molecular properties, where data is shared in RDF, read into statistical and life science software including Bioclipse and R, and where molecular properties are predicted.
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