1. Categorizing and Collabularizing: Research on how to marry the benefits of folksonomy with ontology to create the collabulary of the Internet Cheralyn Cofer

2. References Christopher Allen - Tracing the Evolution of Social SoftwareChristopher Allen - Tracing the Evolution of Social Software K. Eric Drexler - Hypertext Publishing and the Evolution of KnowledgeK. Eric Drexler - Hypertext Publishing and the Evolution of Knowledge Clay Shirky - Ontology is Overrated (talk)Clay Shirky - Ontology is Overrated(talk) Clay Shirky - The Semantic Web, Syllogism, and WorldviewClay Shirky - The Semantic Web, Syllogism, and Worldview Cory Doctorow - Metacrap: Putting the torch to seven straw-men of the meta-utopiaCory Doctorow - Metacrap: Putting the torch to seven straw-men of the meta-utopia Peter Merholz - a "professional" blogger Wikipedia

3. Where We Left Off Organization Schemes: mutually exclusive, ambiguous, metaphor-based. Controlled Vocabularies : a carefully selected list of words and phrases which tag information to make it more searchable. These terms are chosen and organized by trained professionals (including librarians and information scientists) who possess expertise in the subject area. Hierarchies: a system of ranking and organizing where each element of the system, except for the top element, is subordinate to a single other element. Taxonomies: a hierarchical arrangement of categories. In our last discussion of Information Architecture we touched upon the following concepts of how to organize Internet content:Information Architecture

4. Where We’re Going Today Information Architecture Ridiculous anti-Shirkian blogger Shirky’s references Clay Shirky Hypertext Publishing and the Evolution of Knowledge Tracing the Evolution of Social Software

5. Terminology Controlled Vocabularies Ontology Semantic Web Voodoo categorization Signal Loss Folksonomy Organic Categorization Long tail Collabulary Here’s some terms that we’ll come across in our discussion:

6. First Stop: Tracing the Evolution of Social Software, Christopher Allen Early motivations behind social software: 1940’s Memex: “ Wholly new forms of encyclopedias will appear, ready-made with a mesh of associative trails running through them, ready to be dropped into the memex and there amplified.” 1950’s Arpa and Licklider: “There has to be some way of facilitating communication among people without bringing them together in one place.” 1960’s Augmentation: "By 'augmenting human intellect' we mean increasing the capability of a man to approach a complex problem situation, to gain comprehension to suit his particular needs, and to derive solutions to problems.”

7. First Stop: Tracing the Evolution of Social Software, Christopher Allen Early motivations behind social software continued: 1970’s Office Automation: “The use of this term swiftly become quite generic, and was used by all the major computer companies of the time. However, any ideas of collaboration become lost in the ideas of process and automation.” 1980’s Groupware: “Intentional group processes plus software to support them.” 1990’s Origin of “Social Software”: “A suitable hypertext publishing medium can speed the evolution of knowledge by aiding the expression, transmission, and evaluation of ideas.” 2000’s Evolution of “Social Software”: [re: Social Computing] “First, there's no need to apologize for studying social effects by pretending that they are a form of computing (the old argument about computers as computing vs communicating devices goes back to Licklider in the early 60s, and its disheartening to see the communications people agonizing over it 40 years on).”

8. Hypertext K. Eric Drexler (1990s) Idea of critical discussion made effective by good filtering processes. Implications of critical discussion [anecdote: believing the naysayers…]

9. On Ontology Clay Shirky Traditional categorization: Periodic Table, libraries (problems) Yahoo’s directory compromise (@) Google’s “shelfless” search Idea of tagging (Folksonomy) as bottom-up categorizing (de.licio.us, flickr) Organic categorizing Moving from the binary categorizing to probabilistic, the Venn diagram of overlap Filtering done post-hoc [recall Chris Allen’s emphasis on effective hypertext filtering as key to quality control] The Semantic Web Syllogisms

10. Meta-C$@p Cory Doctorow 7 [anecdote: I usually want a yardstick to gauge the authority of content, and still do for things like medical information, but in this, I was confident in gauging who I believed by the merit of their writing and ideas.]

11. Anti-shirky Peter Merholz Poor rhetoritician Lame website “professional” blogger [quote from other user, straw-man] Only after disliking his commentary was I interested in his (lack of) authority.

12. In Summation