By Senior Editor – Kris Smith (@croncast)

The good folks from Open Calais were tweeting this morning about a mashup of search and their semantic engine called Drigger.

Drigger is a different type of search engine. For now it is running on top a limited data set as the founder, Martin Borho, continues to test his ideas.

If you would like to see the future of search you should take a look at Drigger and take in the interface, data and results like you’re at a wine tasting event. Borho has created, even with this limited data set, a full bodied type of search experience with linked data, contextual options and typographic references to importance of content.

This is the closest that I have seen anyone come to utilizing the power of Open Calais or any other semantic engine for search. All of the Drigger data elements are available in the Calais API but Borho represents them visually in a meaningful manner to a search experience.

What this means is that Calais is doing its job and so is the developer. Calais handles the linked data and the returning of relevant information while Drigger is the display layer. Successful representation of content relationships is often very difficult as developers have different notions of how to graphically display it. Borho has chosen to do so textually.

Drigger is a simple and graceful iteration of current popular search interfaces. The current spate, however, seem to be seeking more complex ways of displaying data instead of finding ways of returning more relevant results with better ancillary options for discovery.

And not to be left out of this information party, Borho has added auto-discovery RSS for keywords and categories. A man after my own heart. Let the structure data reign supreme!

Related articles by Zemanta

• Meaning Tool: Training Semantic Search With Feeds (readwriteweb.com)
• 7 New APIs: Music Recommendations, Rental Listings, Museum Data, Tweet Hooks and Twitter Topics (programmableweb.com)