Knowledge Changes with Context

Two major themes emerge from the Jon Husband interview of Dave Snowden that we introduced yesterday (available as a 30-minute mp3 file here). One theme is the subversive nature of Web 2.0 as it impinges on existing hierarchies – of control, of planning, of archiving, of knowledge organization itself. We'll get to that next week.

A second theme deals with the changing view of knowledge itself, as it reveals the immense added value that derives from meta-information. The two themes work together, Web 2.0 tools allowing people and knowledge to interact and grow synergistically in ways that no hierarchy-based scheme of knowledge management (KM) can compete with.

Jack Vinson seized on this second theme in his commentary on the interview:

“One theme that ran through the interview was the importance of context in knowledge work. Context is usually removed when you remove the human element, whether that is by archiving best practices to a “database,” or by asking experts to “tell me what you know” about a given topic, or assuming knowledge is a fixed thing as opposed to an interconnected flow of many things. Context is one of my favorite aspects of KM discussion as well: context gives you one connection to the human element of knowledge that old-school KM tends to miss.” – Dave Snowden interviewed by Jon Husband

One key concept considered in the interview was the value of tags, and their usefulness in organizing knowledge. It seems clear that tags are the shifting fulcrum around which transient views of knowledge depend, and people change the tagging dynamically as they add in the relationships between source and consumer. This brings us back to the fluid relationships enabled by Web 2.0 tools, seeming to spell the death of traditional KM hierarchy. As Luis Suarez noted:

”...over the last decade the most neglected word in Knowledge Management has been … context. And from there onwards he makes the connection on how Web 2.0 ‘makes the context in which you receive and filter information and knowledge more critical, partly because you can control that context by exchanging with people you already know or trust.’” – The Impact of Web 2.0 on Knowledge Work and Knowledge Management by Dave Snowden and Jon Husband – Part II

As to whether computers can derive from a body of information meta data as valuable as the supplemental tags humans can supply, Snowden says no. As Jack Vinson notes:

“He’s seen that people tend to name and tag content in different ways, depending on the request. When asked to provide ‘keywords associated with an item,’ people tend to provide words and terms that aren’t in the item. I assume this is contrasted with ‘keywords in the item.’ Similarly, when people are asked to ‘name an item,’ they provide words not in the item. Dave uses this as another example of how people can provide contextual clues that cannot be done by auto-summarizers and other tools.”

This challenges the assumption that software will have to tag knowledge eventually because humans simply aren’t going to do the work. Perhaps it depends on the value of the tagging transaction between human and knowledge resource. Crowdsourcing initiatives in this area do show promising early results.

Our guess is that software will watch humans and quickly learn to make some very good guesses even about contexts not apparent from the literal words in a body of information. Not much that involves human effort will remain out of the hands of robots for long: humans are much too smart for that.

Published Friday, November 30, 2007 9:30 AM
Filed under , , , , , ,

Comment Notification

If you would like to receive an email when updates are made to this post, please register here

Subscribe to this post's comments using RSS

Comments


Friday, November 30, 2007 1:15 PM by Dave Snowden

# re: Knowledge Changes with Context

Just on your final point:

<ol><li>any form of semantic analysis has limits (rather like Newtonian Physics) so I think we can keep substantial aspects of <i>meaning making</i> out of the hands of robots for some time (unless that is we dumb down human intelligence that is) so allowing robots to get itdo it is the opposite of <i>smart</i></li><li>

Its not difficult to get humans to tag, if you do it at the time of creation and make it simple - which does not mean a list of categories and key words.</li><li>

You can for limited applications replicate human indexing with a good training dataset for certain applications on large volumes.  But that is a different proposition.</li></ol>


Friday, November 30, 2007 1:24 PM by Dovetail Software

# re: Knowledge Changes with Context

hmmm - if it weren't for people like Google we wouldn't think twice about accepting the point wholeheartedly

so even as humans are tagging at the time of creation, software will surely be offering choices and options as well? And ALL the world's knowledge will be at its disposal during each human interaction.

What do you think?


Friday, November 30, 2007 2:31 PM by Dave Snowden

# re: Knowledge Changes with Context

The limitations of semantic analysis link to neuro-science and the understanding that there are no deep structures in language - the newtonian approximation point.  So its base science, google or not they cannot change that.  A semi-strucutured tagging approach provides a form into which people tag (a half way house between social computing and traditional taxonomy) and its at point of entry.  Apologies don't really understand your second para

(Have also discovered your comments do not allow HTML)


Monday, December 03, 2007 11:11 AM by Dovetail Software

# re: Knowledge Changes with Context

"no deep structures in language" - have to yield to your superior knowledge on this one

are you saying then that tagging is actually not going to be a very arduous or gargantuan task? Do you see it as a fairly light kind of overlay, as it were? That we'll all get used to adding and correcting metadata?

By "software offering choices" the thought was along the lines of the context-sensitive right-click menu choice, or the (often annoying) auto-complete of words and form fields, etc.

Essentially the thought that software will learn to anticipate your choices of tags - and may even surprise you by having learned from 20 other people (or thousands across the whole network) something that you thought was unique to yourself - the Google concept of the perfect search engine being able to read your mind in advance of your query.

sorry no html btw - rather restricted blog system here

Leave a Comment

(required) 
(optional)
(required) 

  
Enter Code Here: Required
Submit