The Intersection of IA and KM
October 28th, 2005 Glenda Claborne
Abe Crystal, a PhD student at UNC’s School of Information and Library Science, set the tone for this panel discussion with a metaphorical assessment of the complexity of knowledge amassed in KM research and practice: “Water, water, everywhere but not a drop to drink.” He prescribes desalination for Knowledge Management and recommends Information Architecture as the mechanism towards that end.
Peter Morville of Semantic Studios argues for thinking in layers - of seeing the interface as only occupying the apex of a triangle and the IA components occupying the rest of the structure. He pictured IA as levels of work needed to bring content and context up to user interfaces, in forms that are not only usable but also useful, desirable, accessible, credible, findable, and valuable.
Seth Earley of Earley & Associates emphasizes that this work of surfacing content up to user interfaces via metadata requires energy. Entropy happens. Self-organization only occurs when energy is put back into a system of organization. But metadata, as expenditure of energy, involves the active recognition that knowledge is dynamic and organic. Recognizing that knowledge creation occurs on the edges of the network helps us situate it along a continuum of unstructured and structured processes where we know what and when to use the right tools, along a continuum of low-cost unfiltered knowledge and high-cost filtered knowledge so that we may know when to be selective about what to tag. Like knowing the difference between a bus system and a taxi system.
Luz Quiroga, Assistant Professor at the University of Hawaii’s LIS program, gave further context for understanding the intersection of information architecture and knowledge management in her work with personalization of websites, particularly in the domain of health services. There are areas where intelligent agents are useful for personalization and customization of health information services but they are not enough to make explicit those facets of a patient’s health information needs that are unique to a person or a culture. Human judgment must still play an active role in determining those many points of view by which people find other people, services, and resources.
I found this panel discussion useful in bridging the creative energy of knowledge creation/capture and the sustaining energy of taxonomies and ontologies. Perhaps at the intersection of KM and IA are certain universals that both create and constrain? Again, please add to this post as there were many things brought up during this panel discussion that we can all benefit from with your added thoughts.
Pictures forthcoming. My computer decided not to recognize my camera today.
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Entry Filed under: ICKM

2 Comments Add your own
1. Kelly Green | October 30th, 2005 at 11:58 pm
Sorry to have missed out on ICKM this year. I remember thinking that this particular panel looks interesting. Can you expand more on Abe’s suggestion of “desalination”?
I find as the metadata architect and keeper of the ‘digital library’ at our organization, my tasks involve a great deal of IA work. I have been getting into usability and interface issues which drarw upon the info. access and info retrieval aspects of my library backgrouond. However, the tecnology are tools. KM is also a LOT about people and coordination…trying to get ppl active and maintain that energy is the hardest part of KM in my experience.
2. Glenda Claborne | October 31st, 2005 at 12:48 pm
Abe, can you please comment further on your metaphor of ‘desalination’? Or can any of the panelists please comment?
I can imagine that even a well-designed IA in the limited sense of a taxonomy or ontology will become another nice thing to have without it being integrated well into the work practices of people in an organization. A taxonomy or an ontology should be considered as a cost until it actually generates value in how users use it. That’s why the panel emphasized capturing contexts into taxnomies and interpreting these well on the interface. But I believe it is impossible to account for all contexts within the constraints of the language of technology. We still have to nurture a culture of use surrounding that technology.
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