Folksonomies: Tidying Up Tags?
By M. Guy, E. Tonkin. D-Lib Magazine, 2006
459 citations recorded by the source corpus.
A folksonomy is a type of distributed classification system. It is usually created by a group of individuals, typically the resource users. Users add tags to online items, such as images, videos, bookmarks and text. These tags are then shared and sometimes refined. In this article we look at what makes folksonomies work. We agree with the premise that tags are no replacement for formal systems, but we see this as being the core quality that makes folksonomy tagging so useful
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/356335056dff5c543ea5d30b21d9957cef670d94
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Cees G. M. Snoek
- Marcel Worring
- Damian Borth
- Benjamin Elizalde
- Livia Hollenstein
- Kylie Jarrett
- Ross S. Purves
In Information Systems
Citations in the corpus
- Concept-Based Video Retrieval (2009, background): “Since the labels were never meant to meet professional standards, amateur labels are known to be ambiguous, overly personalized, and limited [69, 73, 149].”
- Exploring place through user-generated content: Using Flickr tags to describe city cores (2010, background): “…of content in tagging systems in terms of information organization and retrieval [14,39], the generation of ontologies [32], and its suitability to represent the perception of the individual [17], as well as distributed knowledge or the wisdom of the crowd [36,38] have been discussed at length.”
- The Relevance of “Women’s Work” (2014, background): “Power law suggests that the most highly used tags are most likely to be seen and subsequently used by others (Guy and Tonkin 2006).”
- Collaborative tagging as a knowledge organisation and resource discovery tool (2006, background): “Finally, Guy and Tonkin (2006) conducted a small-scale study to assess the ‘tag literacy’ of users and suggest how such literacy might impact upon the utility of the tagging approach.”
- The YLI-MED Corpus: Characteristics, Procedures, and Plans (2015, background): “However, many videos with non-English content are tagged in English—in fact, English tags dominate by orders of magnitude on Flickr (at least as of Guy and Tonkin 2006).”
- The value of the unpopular: Counteracting the popularity echo-chamber on the Web (2009, background): “Tonkin and Guy see the winnowing of terms as a positive trend and an indicator of the utility of the tags [18].”