"The future co-existence of controlled vocabularies and collaborative tagging is predicted, with each appropriate for use within distinct information contexts: formal and informal."
"(...) tagging system is not "controlled" in this sense (...), but I'm wondering whether its web-scale nature can provide some benefit that one would not expect."
"Xerox has a tool that helps automate the categorization process, but allows the engineer - the subject matter expert - to create his own categories dynamically in a way a machine-learning system could not."
"They are built to be human-usable (...) are targeted primarily for storage/retrieval of personal information and serendipitous discovery of group information . (...) The development communities for each are abuzz with ideas for exploiting the structure"
"we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative ta
"by letting users tag (...), we're (building) systems that, like the Web itself, do a better job of letting individuals create value for one another, often without realizing it."
"a short introduction to what distributed classification systems allow you to do with tags, and how to generate tags to maximize the social value of these systems."
Folksonomies könnten ähnlich wie natürliche Sprachen wachsen, sich verändern und sich verbreiten. Die Tagger sollten sich höchtens locker an einigen wenigen, einfachen Konventionen orientieren.
Eingehender Vergleich der BM-Tools, Fokus auf akademsichen Nutzern. "In many ways these new tools resemble blogs stripped down to the bare essentials. Here the essential unit of information is a link, not a story"
"with their ability to let users do most of the organizational work of the information on a web site, they may yet prove to be a valuable (..) way for information architects to keep a handle on the addition of information into an already-burdened architec
"tagging eliminates the decision - (choosing the right category), and takes away the analysis-paralysis stage (...) it provides immediate self and social feedback (...) it taps into an existing cognitive process without adding add much cognitive cost"
"(...) has the most power and value in vertical search-style app.s, where a community of experts contributes to a pool of content that is then rated by other experts, assuring that the best available content is recognized and becomes readily available."
Tag Systems "are supremely responsive to user needs and vocabularies (...). (T)ransforming the creation of explicit metadata for resources from an isolated, professional activity into a shared, communicative activity by users is an important development"
"Folksonomy (...) refers to the collaborative but unsophisticated way in which information is being categorized on the web. (...) users are encouraged to assign freely chosen keywords (called tags) to pieces of information or data, a process known as tagg
"Could the order of tags be a general solution for hierarchical tagging? It would be similar to relations between words within sentences or to the order of folders in a directory and without enforcing a structure."
M. Grahl, A. Hotho, and G. Stumme. 7th International Conference on Knowledge Management (I-KNOW '07), page 356-364. Graz, Austria, Know-Center, (September 2007)
M. Magableh, A. Cau, H. Zedan, and M. Ward. Proceedings of the IADIS International Conferences Collaborative Technologies 2010 and Web Based Communities 2010, page 178--182. (July 2010)
B. Krause, R. Jäschke, A. Hotho, and G. Stumme. HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, page 157-166. New York, NY, USA, ACM, (2008)
M. Grahl, A. Hotho, and G. Stumme. Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007), page 50-54. Martin-Luther-Universität Halle-Wittenberg, (September 2007)
R. Jäschke, A. Hotho, C. Schmitz, B. Ganter, and G. Stumme. Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06), page 907-911. Hong Kong, IEEE Computer Society, (December 2006)