Post on 20-Oct-2014
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WELCOME TO THE JUNGLE
Matt Moore
Use Your Illusion I:Information Ecologies
http://www.flickr.com/photos/benchilada/2467379649/
Information Ecology
Information Ecology● Information Strategy● Information Politics
● Federal, Feudal, Monarchy, Anarchy● Information Behaviour● Information Staff● Information Processes● Information Architecture
Your New Usability Lab
http://www.flickr.com/photos/scottdavies/3067194897
Usability
UsabilitySociability
http://commons.wikimedia.org/wiki/File:Terracotta_tragic_actor_Louvre_CA1784.jpg
Information Architectsvs
Online Community Managers
http://www.flickr.com/photos/jeffwerner/537297103/
http://www.flickr.com/photos/grahamb/2571040783/
If our applications are social and changeable then where is the “action”?
Cynefin
“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)
How is your work getting more social (or not)?
In what ways do you think our methods need to change (or not)?
Use Your Illusion II:Taxonomies & Cyborg Metadata
Why does taxonomy matter?
• 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
• 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
• 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
Experts
http://www.flickr.com/photos/raster/3380860520/
Experts
Machines
http://www.flickr.com/photos/raster/3380860520/http://www.flickr.com/photos/brewbooks/3315685906/
Experts
Machines
Users
http://www.flickr.com/photos/raster/3380860520/http://www.flickr.com/photos/brewbooks/3315685906/http://www.flickr.com/photos/ntr23/730371240/
Advantages Disadvantages
Experts High-quality & consistent outputs
Can handle ambiguity
ExpensiveTime-consuming
May not understand user perspective
Machines ScalableQuick
Poor at ambiguityCosts may vary
Users CheapScalable (ish)
Rarely consistentOften Uninterested
http://www.powerhousemuseum.com/dmsblog/index.php/2008/03/31/opac20-opencalais-meets-our-museum-collection-auto-tagging-and-semantic-parsing-of-collection-data/
Source: Eric Tsui, Hong Kong Polytechnic University
TaxoFolk
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.
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.
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!
Building Applying Consuming
ExpertsBuy off the shelf
ORBuild based on
analysis
Manual Tagging against Taxonomy
-
Machines Semantic and/or Concept Analysis
Automated Categorisation
Ontology-based Processes
Users Tagging & Folksonomies
Manual Tagging(whatever)
Tag Clouds &Visualisation
Search
How are taxonomies important to our work?
What is the optimal balance of experts, machines and users for our
situation?
Some Links● Me: http://innotecture.com.au/● Survey:
http://www.surveymonkey.com/s/oztaxom● Workshop: http://innotecture.com.au/taxonomy/● Ambient Collaboration Cafe:
http://nswkmoct10.eventbrite.com/