10. Information Ecology
● Information Strategy
● Information Politics
● Federal, Feudal, Monarchy, Anarchy
● Information Behaviour
● Information Staff
● Information Processes
● Information Architecture
23. If our applications are
social and changeable
then where is the “action”?
http://www.flickr.com/photos/jeffwerner/5
37297103/
http://www.flickr.com/photos/grahamb/25
71040783/
25. “How do I settle the long-standing dispute between
Web site designers and data/information modelers,
where Web site designers declare that IA is their
purview and is defined as the structure of our
organization’s Web site as opposed to what IA really
is, which is the structure of information across the
enterprise? IA has been hijacked by the Web
weenies.” (Enterprise architect, financial services
firm)
Forrester Topic Overview: Information Architecture (21 Jan
2010)
26. How is your work getting more
social (or not)?
In what ways do you think our
methods need to change (or not)?
30. • 000 – Computer science, information & general works
• 100 – Philosophy and psychology
• 200 – Religion
• 300 – Social sciences
• 500 – Science
• 600 – Technology
• 700 – Arts and recreation
• 800 – Literature
• 900 – History, geography, and biography
31. • 000 – Computer science, information & general works
• 100 – Philosophy and psychology
• 200 – Religion
• 300 – Social sciences
• 500 – Science
• 600 – Technology
• 700 – Arts and recreation
• 800 – Literature
• 900 – History, geography, and biography
– 930 History of ancient world
– 940 General history of Europe
– 950 General history of Asia; Far East
– 960 General history of Africa
– 970 General history of North America
– 980 General history of South America
– 990 General history of other areas
32. • 000 – Computer science, information & general works
• 100 – Philosophy and psychology
• 200 – Religion
• 300 – Social sciences
• 500 – Science
• 600 – Technology
• 700 – Arts and recreation
• 800 – Literature
• 900 – History, geography, and biography
– 930 History of ancient world
– 940 General history of Europe
– 950 General history of Asia; Far East
– 960 General history of Africa
– 970 General history of North America
– 980 General history of South America
– 990 General history of other areas
• 993 General history of other areas; New Zealand
• 994 General history of other areas; Australia
• 995 General history of other areas; Melanesia; New Guinea
• 996 General history of other areas; Other parts of Pacific Polynesia
• 997 General history of other areas; Atlantic Ocean islands
• 998 General history of other areas; Arctic islands & Antarctica
• 999 Extraterrestrial worlds
36. Advantages Disadvantages
Experts High-quality & consistent Expensive
outputs Time-consuming
Can handle ambiguity May not understand user
perspective
Machines Scalable Poor at ambiguity
Quick Costs may vary
Users Cheap Rarely consistent
Scalable (ish) Often Uninterested
43. 1. Building
• Buy off the shelf externally (…and tweak it a
bit)
• Machine analysis
• Existing organisational vocabularies & data
models
• Input from users (workshops, tagging)
This will be an ongoing process.
44. 2. Applying
• Auto-categorisation
• User-based tagging (either free or based on
taxonomy)
• Expert tagging and/or editing in workflow
It all depends on scale & risk.
45. 3. Consuming
• Users like pictures (maps, trees, tags clouds)
• Linked to other apps (e.g. Search) or via
workflow
Taxonomies should not be run for experts!
46. Building Applying Consuming
Buy off the shelf Manual Tagging -
Experts OR against Taxonomy
Build based on
analysis
Machines Semantic and/or Automated Ontology-based
Concept Analysis Categorisation Processes
Users Tagging & Manual Tagging Tag Clouds &
Folksonomies (whatever) Visualisation
Search
47. How are taxonomies important to
our work?
What is the optimal balance of
experts, machines and users for our
situation?
