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A [semantic data lake](http://cacm.acm.org/news/200095-the-data-lake-concept-is-maturing/fulltext) can be thought of a set of resources annotated with semantics (i.e., triples or quads). In the context of big data, a “data lake” is a massive repository of data, structured or unstructured, of which we gain knowledge of its contents by examining the semantic graphs derived from their contents.

That’s a big idea. This project is about a semantic data lake at a much smaller scale: a pond. I also like ducks and so it is a duck pond.

We can paddle around in our content, just like a duck, and harvest a bit knowledge to derive local value. In this case, we use the semantic pond to understand the content, its inter-relations, ordering, and other such content relations. From that, we can derive a useful presentation on the Web.

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