arrac/wikipedia-co-occurrence
Extract Named Entity Co-occurrences from Wikipedia
A LibSVM based support vector machine classifier for Ruby
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Extract Named Entity Co-occurrences from Wikipedia
Agama is a simple graph store for ruby. Storing large graphs on disk is cumbersome process and difficult to manage. Modelling them as tables on a relational database requires a constant schema translation as nodes and edges are not the first class entities. Agama tries to provide a simple and intuitive way to store large graphs onto disks. Agama uses a key-value store like Tokyo Cabinet to serialize graphs internally.