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== Definition ==
== Definition ==


Tags are labels for something. There are different classification systems, e.g. taxonomies like the ones used by librarians or folksonomies.
Tags are labels for something. There exist different classification systems, e.g. taxonomies like the ones used by librarians or folksonomies.


In the context of [[Web 2.0]], '''Tagging''' means sticking keywords to something (a resource link, a web page, a picture, ...). The agents who can create tags are professionals, authors and users. One object can be tagged with as many words as one desires because there are no restrictions.
In the context of [[Web 2.0]], '''Tagging''' means sticking keywords to something (a resource link, a web page, a picture, ...). The agents who can create tags are professionals, authors and users. One object can be tagged with as many words as one desires because there are no restrictions.
See also: [[controlled vocabulary]] (its opposite), [[metadata]] and [[indexing]]


Other usages of ''tag'': A label in syntax used in markup languages like [[XML]] to delimit an element.
Other usages of ''tag'': A label in syntax used in markup languages like [[XML]] to delimit an element.
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== Folksonomies ==
== Folksonomies ==


Thomas Vander Wal invented in 2004 the expression '''folksonomies'''. They are "naturally grown" collections of tags, i.e. implicit taxonomies that are constituted by people creating and using tags.  
Thomas Vander Wal invented the expression '''folksonomies''' in 2004. They are "naturally grown" collections of tags, i.e. implicit taxonomies that are built by people creating and using tags.  


{{quotation | In contrast to professionally developed taxonomies with controlled vocabularies, folksonomies are unsystematic and, from an information scientist's point of view, unsophisticated; however, for Internet users, they dramatically lower content categorization costs because there is no complicated, hierarchically organized nomenclature to learn. One simply creates and applies tags on the fly.}} ([http://en.wikipedia.org/wiki/Folksonomy Wikipedia:Folksonomy], 18:45, 14 September 2006 (MEST))
{{quotation | In contrast to professionally developed taxonomies with controlled vocabularies, folksonomies are unsystematic and, from an information scientist's point of view, unsophisticated; however, for Internet users, they dramatically lower content categorization costs because there is no complicated, hierarchically organized nomenclature to learn. One simply creates and applies tags on the fly.}} ([http://en.wikipedia.org/wiki/Folksonomy Wikipedia:Folksonomy], 18:45, 14 September 2006 (MEST))


Since Folksonomies are open-ended by definition, they do have some advantages.
Since Folksonomies are open-ended by definition, they do have some '''advantages'''.
* They can quickly respond to innovations, new interests, new ways of looking at things etc. and, concerning the language, they reflect changing terminologies because they don’t have to respect a controlled vocabulary.
* They can quickly respond to innovations, new interests, new ways of looking at things etc. and, concerning language, they reflect changing terminologies because they don’t have to respect a controlled vocabulary.
* {{quotation | Perhaps the greatest benefit of folksonomy is its relevance in the information retrieval sense of the term -- that is, the capacity of its tags to describe the "aboutness" of an Internet resource. After all, folksonomies are generated by people who have spent a great deal of time interacting with the content they tag.}}  ([http://en.wikipedia.org/wiki/Folksonomy Wikipedia:Folksonomy], 18:45, 14 September 2006 (MEST))
* {{quotation | Perhaps the greatest benefit of folksonomy is its relevance in the information retrieval sense of the term -- that is, the capacity of its tags to describe the "aboutness" of an Internet resource. After all, folksonomies are generated by people who have spent a great deal of time interacting with the content they tag.}}  ([http://en.wikipedia.org/wiki/Folksonomy Wikipedia:Folksonomy], 18:45, 14 September 2006 (MEST))
* A more intriguing argument is that they convey information at multiple layers, i.e. they are simultaneously systematic (will cover all sorts of interest of a given population), and personal and social (they also provide information ''about'' this population.
* A more intriguing argument is that they convey information at multiple layers, i.e. they are simultaneously systematic (will cover all sorts of interest of a given population), and personal and social (they also provide information ''about'' this population.


Of course there are also disadvantages to folksonomies:
Of course there are also '''disadvantages''' to folksonomies.
* They are polysemic (one word has several meanings, this is why we use sometimes ''disambiguation'' pages in this wiki).
* They are polysemic (one word has several meanings, this is why we use sometimes ''disambiguation'' pages in this wiki).
* For a same concept synonyms and various spellings may be used etc.
* For the same concept synonyms and various spellings may be used etc.
* They can include all sorts of meta noise (e.g. wrong tags or badly spelled tags).
* They can include all sorts of meta noise (e.g. wrong tags or badly spelled tags).
* They can be too personal, created by one user and without any meaning for the rest of the Web community.
There are '''solutions''' to avoid some "noise", and supporters of tagging, such as [http://pinds.com/articles/2005/01/23/folksonomies-how-we-can-improve-the-tags Lars Pind] (2005) and [http://www.dlib.org/dlib/january06/guy/01guy.html Marieke Guy and Emma Tonkin] (2006), concentrate on this problem and propose some ideas to make folksonomies work better.
* Suggesting existing tags canhelp people become more familiarized with the world of tags, avoiding inconsistencies, obvious tags or general “noise”.
* Showing related tags and synonyms.
* Using a layout device to show the most used tags (e.g. size, colour).
* Once given a fixed domain, offering users a list of tags from which they have to choose.
* Offering a checklist of questions that could be applied to the object being tagged to help people focus their attention on its most salient characteristic.


There are solutions to avoid some "noise", i.e. propose a large, but fixed set of keywords to the users. [http://pinds.com/articles/2005/01/23/folksonomies-how-we-can-improve-the-tags Lars Pind](2005) proposes some ideas to make folksonomies work better:
Apart from these practical devices that could be introduced to simplify the system, [http://www.dlib.org/dlib/january06/guy/01guy.html Marieke Guy and Emma Tonkin](2006) recognize the necessity of a '''tag etiquette'''. Though tagging is something retively new, a set of rules to organize this new world could be the simpliest solution to avoid lots of problems (see [[Semantic web]]). The community needs some fixed advice to follow in order to use this tool correctly and better exploit this possibility.
* The suggestion of existing tags could help people in familiarizing whith the world of tags, avoiding inconstancies, obvious tags or general “noises”.
* The show of related tags and synonyms.
* The use of a layout devise to show the most used tags (e.g. size, colour).
* Once given a fixed problem domain, offer the users a list of tags from which they have to choose.


== Collaborative tagging ==
== Collaborative tagging ==
Line 35: Line 41:
(Golder & Huberman, 2006).
(Golder & Huberman, 2006).


(Collaborative) '''Tagging''' is used in many [[social software]] applications. Most of these are folksonomies.
(Collaborative) '''Tagging''' is used in many [[social software]] applications. Most of these are folksonomies, for example, to:
 
* manage one's own digital artifacts and links;
* allow people to share links ([[social bookmarking]]) and artifacts;
* link people with similar interests (“Tagging will help social groups form around shared semantics, in addition to shared semantics arising from, and helping to define, groups” [http://cyber.law.harvard.edu/home/uploads/507/07-WhyTaggingMatters.pdf Weinberger], 2005, retrieved April 20, 2007);
* calulate recommendations for a product (e.g. like Amazon does with keywords describing books).


E.g.
[http://www.rashmisinha.com/archives/06_01/social-tagging.html Rashmi Sinha] (2006) in her social analysis on tagging recognizes that “The basic social formations supported by tagging are more like '''crowds''' than true groups.” The system connects people who share one word, but they do not really know each other, nor do they know what the ideas the others link with the concept they use for tagging something are. However, collaborative tagging transforms people's individual experience on the Web into a social one which makes the wide world of Internet a little bit smaller and more friendly.
* to manage one's own digital artifacts and links
* to allow people to share links ([[social bookmarking]]) and artifacts.
* to link people with same interests (“Tagging will help social groups form around shared semantics, in addition to shared semantics arising from, and helping to define, groups” [http://cyber.law.harvard.edu/home/uploads/507/07-WhyTaggingMatters.pdf Weinberger], 2005, retrieved April 20, 2007 )
* to calulate recommendations for a product (e.g. like Amazon does with keywords describing books)


== Why does it work ? ==
== Why does it work ? ==
Line 47: Line 54:
Firstly, it's easy for users and requires only two steps of cognitive processing (Sinha, 2005). In contrast, filling in metadata forms is time-consuming, boring and difficult.
Firstly, it's easy for users and requires only two steps of cognitive processing (Sinha, 2005). In contrast, filling in metadata forms is time-consuming, boring and difficult.


Second, metadata are ridid and don't work in the real world. An object is not always either of type 1 or type 2, but can be both or in between.
Secondly, metadata are ridid and don't work in the real world. An object is not always either type 1 or type 2, but can be both or in between.


Metrics and visualization techniques can put some "order" into a big "tag soup", e.g. show which tags are close (e.g. see [[tag cloud]]s) and therefore create "natural taxonomies".
Metrics and visualization techniques can put some "order" into a big "tag soup", e.g. show which tags are close (e.g. see [[tag cloud]]s) and therefore create "natural taxonomies".


 
{{quotation |Tagging repudiates one of the deepest projects our culture has undertaken over and over again: The rendering of all knowledge into a single, universal framework. The semi-chaotic state of the “tagosphere” represents the nature of our shared world better than the cool marble columns of the old mono-order ever could  }}
“Tagging repudiates one of the deepest projects our culture has undertaken over and over again: The rendering of all knowledge into a single, universal framework. The semi-chaotic state of the “tagosphere” represents the nature of our shared world better than the cool marble columns of the old mono-order ever could” ([http://cyber.law.harvard.edu/home/uploads/507/07-WhyTaggingMatters.pdf Weinberger], 2005, retrieved April 20, 2007).
([http://cyber.law.harvard.edu/home/uploads/507/07-WhyTaggingMatters.pdf Weinberger], 2005, retrieved April 20, 2007).


== Discussion ==
== Discussion ==
Line 59: Line 66:


* Some people hate metadata ([[User:DSchneider|DSchneider]] does because it's too much work)
* Some people hate metadata ([[User:DSchneider|DSchneider]] does because it's too much work)
* Some people hate tagging ([[User:DSchneider|DSchneider]] does because within large crowds some people may unintentionnally or intentionnally use wrong tags, and because it'is also means extra work.
* Some people hate tagging ([[User:DSchneider|DSchneider]] does because within large crowds some people may unintentionnally or intentionnally use wrong tags, and because it also means extra work. :)


  :)
Also see the way MediaWikis use categories, which is a sort of bookmarking. Each author can assign a category to a page. If it doesn't exist, the wiki engine creates a "wanted Category" page that needs to be edited in order to display the automatically generated list of pages. Categories can also be inserted into Categories (which turns it into a subcategory of the give category).  Note: [http://edutechwiki.unige.ch/en/Special:Categories Categories in this wiki] were made by a single user [[User:DSchneider|DSchneider]]. It's something in between a little folksonomy and reflection about our field.
 
See also the way MediaWikis use categories which is a sort of bookmarking. Each author can assign a category to a page. If it doesn't exist, the wiki engine creates a "wanted Category" page that needs to be edited in order to display the automatically generated list of pages. Categories can also be inserted into Categories (which turns it into a subcategory of the give category).  Note: [http://edutechwiki.unige.ch/en/Special:Categories Categories in this wiki] were made by a single user [[User:DSchneider|DSchneider]]. It's something in between a little folksonomy and reflection about our field.


== Links ==
== Links ==
Line 70: Line 75:


* [http://marshallk.blogspot.com/2005/09/thinking-about-tagging-and-web-20.html Thinking about tagging and Web 2.0]
* [http://marshallk.blogspot.com/2005/09/thinking-about-tagging-and-web-20.html Thinking about tagging and Web 2.0]
=== Software ===
; Tag extractors
* [http://www.tagthe.net/ Tagthe.net]. a simple webservice that helps you in tagging textual content on and off the web. There are two ways of using it. (1) by simply pasting a URL or a text in the fields below or uploading a file or (2) by using the REST API
* [http://developer.yahoo.com/search/content/V1/termExtraction.html Term Extraction Documentation for Yahoo! Search Web Services]


=== Examples ===
=== Examples ===


* [http://del.icio.us/Mike_Malloch/social-bookmarking Mike Malloch's del.icio.us tags on social bookmarking] (very useful)
* [http://del.icio.us/Mike_Malloch/social-bookmarking Mike Malloch's del.icio.us tags on social bookmarking] (very useful)
* [http://www.flickr.com/photos/tags/ Most popular tags in Flickr]
* [http://technorati.com/tag/ Top tags in Technorati]


== References ==
== References ==
Line 79: Line 92:
* Farrell, Stephen and Tessa Lau,  Fringe Contacts: People-Tagging for the Enterprise, WWW '2006 paper, [http://www.rawsugar.com/www2006/25.pdf PDF]
* Farrell, Stephen and Tessa Lau,  Fringe Contacts: People-Tagging for the Enterprise, WWW '2006 paper, [http://www.rawsugar.com/www2006/25.pdf PDF]


* Golder, Scott and Bernardo A. Huberman (2006). "Usage Patterns of Collaborative Tagging Systems." ''Journal of Information Science'', 32(2). 198-208. [http://www.hpl.hp.com/research/idl/papers/tags/index.html Abstract/PDF].
* Golder, Scott and Bernardo A. Huberman (2006). "Usage Patterns of Collaborative Tagging Systems." ''Journal of Information Science'', 32(2). 198-208. [http://www.hpl.hp.com/research/idl/papers/tags/index.html Abstract/PDF]
 
* Guy, Marieke, & Tonkin, Emma (January 2006). “Folksonomies: Tidying up tags?”, D-Lib Magazine, 12, [http://www.dlib.org/dlib/january06/guy/01guy.html HTML]
* Pind, Lars (January 23, 2005). Folksonomies: how we can improve the tags, [http://pinds.com/articles/2005/01/23/folksonomies-how-we-can-improve-the-tags HTML]
 
* Sinha, Rashmi (2005). A cognitive analysis of tagging, (or how the lower cognitive cost of tagging makes it popular), [http://www.rashmisinha.com/archives/05_09/tagging-cognitive.html HTML]
 
* Sinha, Rashmi (2006). A social analysis of tagging (or how tagging transforms the solitary browsing experience into a social one), [http://www.rashmisinha.com/archives/06_01/social-tagging.html HTML]


* Sinha, Rashmi, (2005). A cognitive analysis of tagging, (or how the lower cognitive cost of tagging makes it popular), [http://www.rashmisinha.com/archives/05_09/tagging-cognitive.html HTML]
* Speller, Edith (February 2007). “Collaborative tagging, folksonomies, distributed classification or ethnoclassification: a literature review”, Library Student Journal, London, [http://informatics.buffalo.edu/org/lsj/articles/speller_2007_2_collaborative.php HTML]  


* Vuorikari, Riina (2005), Social networking software and e-portfolios foster digitallearning networks, Special Insight Reports, European Schoolnet. [http://insight.eun.org/ww/en/pub/insight/misc/specialreports/digital_knowledge_artefacts.htm HTML]
* Vuorikari, Riina (2005), Social networking software and e-portfolios foster digitallearning networks, Special Insight Reports, European Schoolnet. [http://insight.eun.org/ww/en/pub/insight/misc/specialreports/digital_knowledge_artefacts.htm HTML]
Line 87: Line 108:
* Vuorikari, Riina (2005), Innovation Brief: Can personal digital knowledge artefact's managment and social networks enhance learning ? [http://www.eun.org/insight-pdf/special_reports/social_networks_learning_vuorikari_9_2005_insight.pdf PDF]
* Vuorikari, Riina (2005), Innovation Brief: Can personal digital knowledge artefact's managment and social networks enhance learning ? [http://www.eun.org/insight-pdf/special_reports/social_networks_learning_vuorikari_9_2005_insight.pdf PDF]


[[Category: Technologies]]
* Vuorikari, Riina (2007). Folksonomies, social bookmarking and tagging: the tate-of-the-art, Special Insight Reports, [http://insight.eun.org/ww/en/pub/insight/misc/specialreports/folksonomies.htm Abstract/PDF]. '''Recommended reading''' by [[User:Daniel K. Schneider|Daniel K. Schneider]].
 
* Weinberger, David (May 13, 2005).Tagging and Why It Matters, Fellow, Harvard Berkman Center for the Internet and Society, [http://cyber.law.harvard.edu/home/uploads/507/07-WhyTaggingMatters.pdf PDF]
 
http://insight.eun.org/ww/en/pub/insight/misc/specialreports/folksonomies.htm
 
 
[[Category: Social computing]]
[[Category: Social computing]]
[[Category: Knowledge representation]]

Latest revision as of 18:47, 1 August 2009

Definition

Tags are labels for something. There exist different classification systems, e.g. taxonomies like the ones used by librarians or folksonomies.

In the context of Web 2.0, Tagging means sticking keywords to something (a resource link, a web page, a picture, ...). The agents who can create tags are professionals, authors and users. One object can be tagged with as many words as one desires because there are no restrictions.

See also: controlled vocabulary (its opposite), metadata and indexing

Other usages of tag: A label in syntax used in markup languages like XML to delimit an element.

Folksonomies

Thomas Vander Wal invented the expression folksonomies in 2004. They are "naturally grown" collections of tags, i.e. implicit taxonomies that are built by people creating and using tags.

“In contrast to professionally developed taxonomies with controlled vocabularies, folksonomies are unsystematic and, from an information scientist's point of view, unsophisticated; however, for Internet users, they dramatically lower content categorization costs because there is no complicated, hierarchically organized nomenclature to learn. One simply creates and applies tags on the fly.” (Wikipedia:Folksonomy, 18:45, 14 September 2006 (MEST))

Since Folksonomies are open-ended by definition, they do have some advantages.

  • They can quickly respond to innovations, new interests, new ways of looking at things etc. and, concerning language, they reflect changing terminologies because they don’t have to respect a controlled vocabulary.
  • “Perhaps the greatest benefit of folksonomy is its relevance in the information retrieval sense of the term -- that is, the capacity of its tags to describe the "aboutness" of an Internet resource. After all, folksonomies are generated by people who have spent a great deal of time interacting with the content they tag.” (Wikipedia:Folksonomy, 18:45, 14 September 2006 (MEST))
  • A more intriguing argument is that they convey information at multiple layers, i.e. they are simultaneously systematic (will cover all sorts of interest of a given population), and personal and social (they also provide information about this population.

Of course there are also disadvantages to folksonomies.

  • They are polysemic (one word has several meanings, this is why we use sometimes disambiguation pages in this wiki).
  • For the same concept synonyms and various spellings may be used etc.
  • They can include all sorts of meta noise (e.g. wrong tags or badly spelled tags).
  • They can be too personal, created by one user and without any meaning for the rest of the Web community.

There are solutions to avoid some "noise", and supporters of tagging, such as Lars Pind (2005) and Marieke Guy and Emma Tonkin (2006), concentrate on this problem and propose some ideas to make folksonomies work better.

  • Suggesting existing tags canhelp people become more familiarized with the world of tags, avoiding inconsistencies, obvious tags or general “noise”.
  • Showing related tags and synonyms.
  • Using a layout device to show the most used tags (e.g. size, colour).
  • Once given a fixed domain, offering users a list of tags from which they have to choose.
  • Offering a checklist of questions that could be applied to the object being tagged to help people focus their attention on its most salient characteristic.

Apart from these practical devices that could be introduced to simplify the system, Marieke Guy and Emma Tonkin(2006) recognize the necessity of a tag etiquette. Though tagging is something retively new, a set of rules to organize this new world could be the simpliest solution to avoid lots of problems (see Semantic web). The community needs some fixed advice to follow in order to use this tool correctly and better exploit this possibility.

Collaborative tagging

“Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content.” (Golder & Huberman, 2006).

(Collaborative) Tagging is used in many social software applications. Most of these are folksonomies, for example, to:

  • manage one's own digital artifacts and links;
  • allow people to share links (social bookmarking) and artifacts;
  • link people with similar interests (“Tagging will help social groups form around shared semantics, in addition to shared semantics arising from, and helping to define, groups” Weinberger, 2005, retrieved April 20, 2007);
  • calulate recommendations for a product (e.g. like Amazon does with keywords describing books).

Rashmi Sinha (2006) in her social analysis on tagging recognizes that “The basic social formations supported by tagging are more like crowds than true groups.” The system connects people who share one word, but they do not really know each other, nor do they know what the ideas the others link with the concept they use for tagging something are. However, collaborative tagging transforms people's individual experience on the Web into a social one which makes the wide world of Internet a little bit smaller and more friendly.

Why does it work ?

Firstly, it's easy for users and requires only two steps of cognitive processing (Sinha, 2005). In contrast, filling in metadata forms is time-consuming, boring and difficult.

Secondly, metadata are ridid and don't work in the real world. An object is not always either type 1 or type 2, but can be both or in between.

Metrics and visualization techniques can put some "order" into a big "tag soup", e.g. show which tags are close (e.g. see tag clouds) and therefore create "natural taxonomies".

“Tagging repudiates one of the deepest projects our culture has undertaken over and over again: The rendering of all knowledge into a single, universal framework. The semi-chaotic state of the “tagosphere” represents the nature of our shared world better than the cool marble columns of the old mono-order ever could” (Weinberger, 2005, retrieved April 20, 2007).

Discussion

Metadata taxonomies vs. folksonomies

  • Some people hate metadata (DSchneider does because it's too much work)
  • Some people hate tagging (DSchneider does because within large crowds some people may unintentionnally or intentionnally use wrong tags, and because it also means extra work. :)

Also see the way MediaWikis use categories, which is a sort of bookmarking. Each author can assign a category to a page. If it doesn't exist, the wiki engine creates a "wanted Category" page that needs to be edited in order to display the automatically generated list of pages. Categories can also be inserted into Categories (which turns it into a subcategory of the give category). Note: Categories in this wiki were made by a single user DSchneider. It's something in between a little folksonomy and reflection about our field.

Links

  • Rashmi Sinha's blog entries on tagging

Software

Tag extractors

Examples

References

  • Farrell, Stephen and Tessa Lau, Fringe Contacts: People-Tagging for the Enterprise, WWW '2006 paper, PDF
  • Golder, Scott and Bernardo A. Huberman (2006). "Usage Patterns of Collaborative Tagging Systems." Journal of Information Science, 32(2). 198-208. Abstract/PDF
  • Guy, Marieke, & Tonkin, Emma (January 2006). “Folksonomies: Tidying up tags?”, D-Lib Magazine, 12, HTML
  • Pind, Lars (January 23, 2005). Folksonomies: how we can improve the tags, HTML
  • Sinha, Rashmi (2005). A cognitive analysis of tagging, (or how the lower cognitive cost of tagging makes it popular), HTML
  • Sinha, Rashmi (2006). A social analysis of tagging (or how tagging transforms the solitary browsing experience into a social one), HTML
  • Speller, Edith (February 2007). “Collaborative tagging, folksonomies, distributed classification or ethnoclassification: a literature review”, Library Student Journal, London, HTML
  • Vuorikari, Riina (2005), Social networking software and e-portfolios foster digitallearning networks, Special Insight Reports, European Schoolnet. HTML
  • Vuorikari, Riina (2005), Innovation Brief: Can personal digital knowledge artefact's managment and social networks enhance learning ? PDF
  • Vuorikari, Riina (2007). Folksonomies, social bookmarking and tagging: the tate-of-the-art, Special Insight Reports, Abstract/PDF. Recommended reading by Daniel K. Schneider.
  • Weinberger, David (May 13, 2005).Tagging and Why It Matters, Fellow, Harvard Berkman Center for the Internet and Society, PDF

http://insight.eun.org/ww/en/pub/insight/misc/specialreports/folksonomies.htm