Skip to main content

A semantic pond for content delivery

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for duckpond, version 0.10.4
Filename, size & hash File type Python version Upload date
duckpond-0.10.4.tar.gz (133.8 kB) View hashes Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page