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The Accelerator Markup Language (AML) / Universal Accelerator Parser (UAP) project will develop an XML based format for describing high energy particle accelerators along with associated software to convert lattice files to a standard internal struct
The Systems Biology Results Markup Language is a language describing data. Unlike flat data formats, SBRML allows describing the origin of the data as well. This project hosts a library and tools for using SBRML.
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.
As a healthcare provider, you should be paid promptly for the services you provide to patients. Slow, inefficient, and error-prone manual coding keeps you from the financial peace you deserve. XpertDox’s autonomous coding solution accelerates the revenue cycle so you can focus on providing great healthcare.
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.
YARML or (Yet Another Readable Markup Langage) is a simple and readable markup language which have the same structure of XML but with new syntax which near to the syntax which used with the high level programming languages like Java,PHP, C and Python.