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ESML is an interchange technology that utilizes external metadata to allow applications to plug and play seamlessly with Earth Science specific datasets in heterogeneous formats.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
YAML (tm) is a straight-forward data serilization language, offering an alternative to XML where markup (named lists and mixed content) are not needed. YAML borrows ideas from rfc822, SAX, C, HTML, Perl, and Python.