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Pratt SILS LIS653 05 Fall 2007

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Information about Pratt SILS LIS653 05 Fall 2007

Published on December 28, 2007

Author: PrattSILS

Source: slideshare.net

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Info-design developed by created using Query Burst Processing Ben Fry created using compress data Aquabrowser Law Library KU Leuven ActiveGraph find relationships locate resources Daniel Keefe New York Review of Books text-based abstract NYPL Performing Arts Library images/video developed by Packet Garden Anymails MIT Media Lab CTX developed by developed by In the Future artistic scientific interactive browsing mapping Multimedia Information Visualization Libraries Multiple Intelligences Visual/Spatial Verbal/ Linguistic Logical/ Mathematical 3D Visualization E15

Social Tagging Dissecting a Tag Cloud Cumulative tag weights generally level off over time For the entire sample, differences from one cumulative tag cloud against the previous cumulative tag cloud become increasingly unlikely Predominance of top tags remains steady Through recreation of past tag clouds for one-hundred different del.icio.us bookmarks – by month and by discrete groups of every twenty-five users (e.g., users 1-25, 26-50, etc.) – it became apparent that while cumulative tag weights generally tend to level off, tagging practices within each individual group fluctuate wildly from one to the next. Notably, cumulative tag clouds had seven tags whose weights where appreciably higher than all other tags. This corresponds to the number of “popular tags” that del.icio.us lists for a user when they are saving a bookmark. The tiered structured of tag clouds on del.icio.us reflects the propensity of users to rely on these lists of “popular tags” when crafting their own. The general entrenchment of other tags in the cloud reflects the general usage patterns of social bookmarking sites. The limited vocabulary found within commonly used tags is necessary for the “social” aspect of social bookmarking. Tag usage patterns per group fluctuate wildly by Reed Shadgett Pink = differences in top 25 Blue = differences in top 10 Pink = top 25 present Blue = top 10 present Games with a Purpose by Raphael Pelegrino Games have many purposes, including: to entertain; to teach cooperation, communication, critical thinking, respect; and serve as a way of socializing. Luis von Ahn, assistant professor of computer science at Carnegie Mellon University, is creating games that serve another purpose: to develop valuable output for a greater community. Luis von Ahn has created a game, now licensed by Google and named Google Image Labeler, where players Despite some problems with this type of tagging, such as a lack of controlled vocabulary, no hierarchal structure in place, and little control over plurals, the benefits are significant. By playing a fun and free game online, users are contributing to developing a deeper and more accurate database of Internet images. Even the least intelligent humans can easily perform tasks that computers cannot do (yet), such as describing an image or tagging it. Luis von Ahn. Photo by Mike McGregor, Wired Magazine , issue 15.07 try to match appropriate tags to random images on the Internet without communicating with each other. Folksonomies A folksonomy is a collaborative way in which information on the web is being categorized by users. It is a social listing of popular terms, or tags, created for web-based information access and sharing. by Patricia Vega Examples of social networking web sites: Narrow folksonomy: Flickr – photo sharing & management site Broad folksonomy: del.icio.us – bookmarking manager of websites Source: Gene Smith, IA Summit Panel, http://www.atomiq.org Benefits of folksonomies: Management of personal information Tags are in user’s own words and not in words imposed by the system Remote portability Social aspect – sharing interests with others Limitations of folksonomies: No hierarchal structure No controlled vocabulary, synonymy/homonym Tags may be ambiguous, imprecise, and inconsistent Knowledge Organization 653-05 – Prof. Cristina Pattuelli - December 7, 2007

Benefits of

folksonomies:

Management of personal information

Tags are in user’s own words and not in words imposed by the system

Remote portability

Social aspect – sharing interests with others

Limitations of

folksonomies:

No hierarchal structure

No controlled vocabulary, synonymy/homonym

Tags may be ambiguous, imprecise, and inconsistent

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