Skip to main content

Folksonomies: Tags Strengths, Weaknesses And How To Make Them...

Popularity Report

Total Popularity Score: 0

Loading...
Loading...
Loading...
Loading...
Loading...
Loading...

Rank

Related Lists

Bookmark History

Saved by 25 people (-3 private), first by anonymouse user on 2006-03-02


Public Comment

on 2006-07-26 by jeddco

Tags Strengths, Weaknesses And How To Make Them Work

Public Sticky notes

Educating users

Currently most users don't give much thought to the way they tag resources, and bad or "sloppy" tags are ten-a-penny in folksonomies. The main casualties are usually enumerated as follows:

  • Misspelt tags (e.g., libary, libray)
  • Badly encoded tags, such as unlikely compound word groupings (e.g.,TimBernersLee)
  • Tags that do not follow convention in issues such as case and number; singular versus plural form (e.g., apple, apples)
  • Personal tags that are without meaning to the wider community (e.g., mydog)
  • Single-use tags that appear only once in the database. (e.g., billybobsdog)

Highlighted by ycc2106

Amy Gahran of Contentious observes that "A folksonomy merges, diverges, and evolves much the way language does, through usage and interaction." This is one of folksonomy's great strengths.

Highlighted by agahran

Stephen Pinker in his text The Language Instinct discusses pidgin (a combination of words from other languages absent of any stable grammatical structure) and creole (a combination of words from other languages with a unique grammar imposed) languages. He argues that creole will come from pidgin if people are given the chance to speak to others. It could be argued that similarly social tagging services create the kinds of environments in which we can evolve metadata vocabularies in a natural way.

The evolution mentioned here refers to the production of a single, fairly stable, shared ontology, and this statement is fair in that Pinker's example is limited to a single community. Within a given setting, culture or social grouping, the process progresses as the system reflects currently preferred choices in language, supporting each participant in his or her own contributions to the group.

Highlighted by smile-browser