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A Functional Workflow Language. Cuneiform is a workflow specification language which makes it easy to integrate heterogeneous tools and libraries and exploit data parallelism. Users do not have to create heavy-weight wrappers for establised tools or to reimplement them. Instead, they apply their existing software to partitioned data. Using the Hi-WAY application master Cuneiform can be executed on Hadoop YARN which makes it suitable for large scale data analysis. Cuneiform comes in the form of a functional programming language with a Foreign Function Interface (FFI) that lets users create functions in any suitable scripting language and apply these functions in a uniform way. Data paralelism is expressed by applying map, cross-product, dot-product, or combinations of the aforementioned algorithmic skeletons to collections of black-box data.

The biblio transformation engine is a java framework developed by the Hellenic National Documentation Centre (EKT, www.ekt.gr) and consists of programmatic APIs for filtering and modifying records that are retrieved from various types of data sources (eg. databases, files, legacy data sources) as well as for outputing them in appropriate standards formats (eg. database files, txt, xml, Excel). The framework includes independent abstract modules that are executed seperately, offering in many cases alternative choices to the user depending of the input data set, the transformation workflow that needs to be executed and the output format that needs to be generated.

MOCCA is the Message-Oriented Command and Context Architecture, providing a GLUE middle-ware that allows sending commands to a peer which are executed by state-less handlers in a specific context. In contrast to the Request-Response scheme the message flow is not fixed by the framework. This allows to implement different communication paradigms (including Request-Response). The whole system can be seen as an automaton with Messages that trigger state transitions in the local Contexts. This library contains the core components, including the GLUE-based implementation.