Del.icio.us tags aren’t like meta keyword tags because of the Del.icio.us Lesson. Meta keyword tags provide no personal value whatsoever. All of their value is social. They’re for aggregation engines to find and tell other people about. In other words
Del.icio.us tags aren’t like meta keyword tags because of the Del.icio.us Lesson. Meta keyword tags provide no personal value whatsoever. All of their value is social. They’re for aggregation engines to find and tell other people about. In other words
"(...) 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."
"network is decentralized, with each node—be it a tag, individual, or object—able to connect to another within the system. What arises, when enacted on a large enough scale, is rhizomatic: multiple points of entry for multiple participants"
Social tagging, Folksonomy, Tag gardening, Emergent semantics, Power tags, Tagcare, Knowledge organization system, Knowledge representation, Personomy, Isabella Peters, Katrin Weller
"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."
TagCloud is an automated Folksonomy tool. Essentially, TagCloud searches any number of RSS feeds you specify, extracts keywords from the content and lists them according to prevalence within the RSS feeds.
The TagCommons Working Group is having a fascinating discussion about the mechanism by which a community can agree to share tag data. Here are some of the options before us:
Though I am excited by organic, individual tagging tools there are situations where introducing this can be problematic. Health information content, in particular, seems to be a strong candidate for more centralized, regulated classification and tagging..
Though I am excited by organic, individual tagging tools there are situations where introducing this can be problematic. Health information content, in particular, seems to be a strong candidate for more centralized, regulated classification and tagging..
"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"
... to aggregate blog posts from different blogs about a conference...the trick was that all the posts would use a particular text string or “shibboleth” phrase to identify them as being about the same topic...
... to aggregate blog posts from different blogs about a conference...the trick was that all the posts would use a particular text string or “shibboleth” phrase to identify them as being about the same topic...
You can tag arbitrary content on the web, you can do it in a low-tech way to make it easy for everyone to do...But...How do you find instances that people haven't tagged? Or deal with overlapping meme labels?
You can tag arbitrary content on the web, you can do it in a low-tech way to make it easy for everyone to do...But...How do you find instances that people haven't tagged? Or deal with overlapping meme labels?
B. Krause, A. Hotho, and G. Stumme. Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008, volume 4956 of LNAI, page 101-113. Heidelberg, Springer, (2008)
G. Stumme. Proc. 3rd Intl. Conf. on Formal Concept Analysis, volume 3403 of Lecture Notes in Computer Science, page 315-328. Heidelberg, Springer, (2005)
G. Stumme. Proc. 3rd Intl. Conf. on Formal Concept Analysis, volume 3403 of Lecture Notes in Computer Science, page 315-328. Heidelberg, Springer, (2005)
K. Dellschaft, and S. Staab. HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, page 71--80. New York, NY, USA, ACM, (2008)