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Julian Harris' Blog

Semantic giving architectures ... when I no longer need to search

If parts of my web or digital spaces know little about me, their interfaces will help me make decisions. If they know more about me, they will make decisions for me. 

A semantic giving architecture will move away from search lists where I do the work, to spaces where choices are organised around my interests, my behaviour and intentions, providing a starting point for journeys and experiences related to my world.

A giving architecture will do increasing amounts of my thinking and will involve semantic clustering, visual and assisted decision making. Journeys will emerge where the search result is no longer the end point. A guided journey in and out of search based on context and user intent will emerge. Capabilities for a site or service to display semantic memory coupled with an understanding of context will increasingly provide competitive advantage. 

 

And now the search box is starting to disappear. Users' past behaviour, interests and intention will define the entry and exit journeys and how the experience will sit within wider objectives, whether selling a product or deliverying the needs of a social informivore.

 

The user experience is increasingly defined by context - intent, user profile / interest and past behaviour. All of this overlayed with a business or consumer process so that 'finding' becomes more of a dialogue than a monologue. As the trend shifts from search box to user behaviour and context, a next-generation search will leverage:

  • semantic clustering
  • continuous results
  • next generation interfaces - visual search, RIAs, multi-touch
  • contextual experiences
  • experience within a business or consumer process 
  • user-generated content
  • knowledge-sharing networks
  • tagging
  • highly interactive models (persoanlized ranking)

 

In short almost all next-generation consumer or enterprise applications will require some form of semantic giving architecture to ensure that the user receives releveant content specific to their needs at different times.

 

It requires a highly developed ability to determine what a user is actually trying to accomplish and HAS to be smarter and more contextual than google. User experience innovations will ensure that users don't have to work hard to get what they want or to reach their aspirations.

 

Related URLs:

cuil | similpedia | clusty | yahoo! glue

Published 09 February 2009 10:56 by Julian.Harris

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jamie.thomson said:

Interesting stuff Jules. Argubly we've been seeing this for years. Take your comment:

"Capabilities for a site or service to display semantic memory coupled with an understanding of context will increasingly provide competitive advantage. "

Amazon (that great bastion of innovation) have been doing this for years where they show you "People who bought X also bought Y & Z", "Here's what you have recently looked at".

I agree that we're going to become less reliant on the search box and the lines between searching and browsing are going to blur. I've talked about similar stuff a little myself if you're interested:

Can your social groups be used to provide you with better information?

(http://jamiethomson.spaces.live.com/blog/cns!550F681DAD532637!9246.entry)

-Jamie

February 10, 2009 15:33
 

Merril Myers said:

I've been trying to get this point across to folks I work with in the Enterprise Content Management support area for a large corporation.  This is basis of "social computing" - collecting information about people (skills, interests, behaviors) and using that information to connect people with other people and content that matches their wants/needs.

Behind it all, there is a lot of smart (rules-based) searching going on; but not via manually entered search criteria in a typical search box.  In this case, the search criteria are automatically generated from data collected as the user performs actions that continually builds or adjusts the users profile/preferences.  It could be considered a form of artificial intelligence, as the underlying search engine continually adjusts rules that attempt to predict what it is the user is looking for - via recommendations.  Continuously collecting feedback from the users (via user tagging, user ratings, click analysis, and so on) is a vital part of the process.

That being said, I think the good old fashion search box still has a place on most sites.  Sometimes people want to connect with people or content that doesn't match what they typically want (it doesn't match their profile).

February 10, 2009 20:02

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