Everybody Can Write A Book

Three years ago, when I developed QTSaver as a micro content search engine, I already saw the possibility to write whole books by combining micro contents and thus showing them as macro contents also known as chapters, or papers.

I started a big scale pilot :

I gathered 1500 blog-posting-micro-contents, sorted them by categories like: meaning, history, usages, stamps - and then copied and pasted them into the right category. All I had to do was to edit the material, mostly to erase duplicates and voila… I got the printed books.

See: http://www.nowpublic.com/culture/printed-blook-0

What I want to emphasize is that everybody can write a book- it’s that simple!

Big Scale Experiment

I've just published my first Summary of my Blog Postings about a certain subject:
the Origin of the Star of David

In my blog I collected last year more than 1000 Postings on every aspect of the Star of David I could lay hands on. The postings are ordered by the time I posted them which adds a small if any value to their grouping. But it is a goldmine since each posting is a micro content that can be a member in a group of postings that answers a certain question.

I used about 60 postings for this document.

correct me if I'm wrong but I believe that this summary is the most extensive answer to the question about the Origin of the Star of David.
Imagine that a search engine will be able in the future to give you such detailed answers for EVERY question you have - wouldn't it be something!

In the near future I hope to find time to answer in a similar manner the following questions:
The Meaning of the Star of David
The Shape of the Star of David
Yellow Badge Artists

QTSaver is back on line

From February 23, 2007 until yesterday QTSaver,the microcontent engine, was off line but it's back now, still waiting for an investor who will make our dream about the microcontent WWW come true.

QTSaver no longer online

QTSaver,the microcontent engine, is no longer on line. We tried our best to promote it but couldn't find an investor who will make our dream about the microcontent WWW come true.

Anyhow, people who want to get an impression about what QTSaver DID can still read this blog which is full with demonstrations.

The vision is still valid - search engine users still get more results than they can chew, and more paragraphs in each result than they need.

I'm convinced that when the QTSaver File will reopen QTSaver will come back online...

Axioma Search Engine

My neighbor sent me this link to an article in Hebrew about Axioma and I hurried to download it and to try it out. My first impression is that it is fun and that the team there did a good job. Investor Arie Adler can be satisfied from the result...

On their web site I read that Axioma

Allows you to interactively increase the relevancy and context searches you make on general search engines… You arrive at more relevant results quickly - without weeding through a lot of unwanted results.

So the idea behind Axioma is to solve the problem of relevancy, the problem of “lot of unwanted results”- but can they do that?

IMHO Axioma will never solve the problem of relevancy because it is built on the wrong concept: it is a macro content search engine, which means that even if you get the web-page you wanted you still have to find your way in it, and what if you need only one small paragraph from a page that contains hundreds of irrelevant paragraphs? And what if the data you need is scattered in 10 different results? – you’ll have to enter each result separately, just like you did in the “old" search engines that the “new” Axioma is destined to save us from.

Only micro content strategy will help essentially solve this problem. QTSaver is a step in that direction. Axioma is a step in the opposite direction…

Arnauld Leene about QTSaver

Last week Arnauld Leene wrote the following about QTSaver:

Martin's post reminded me to have a look at QTsaver again. I think I never commented on it before. The main reason for that was that I did not know what to think of it.
QTsaver allows you to do free searches based on Yahoo and Google. It then throws up the sentences where the search queries occur. I like this way to present the results of a search query. It is much easier to find the sites that are interesting. And it is nice to have a list of quotes around a subject. But that is what I find the trouble of the results as well. It lacks the context. I rather see the whole article or even the web-page, than some quotes.
By the way QTsaver calls it self a "micro content search engine". In my formal definition these quotes are not MicroContent. But never mind the definition, it is a nice experiment to see what happens when we dig down into MicroContent Items.

And here is my comment to what he wrote:

Thanks for commenting on QTSaver. I like your point of view...

A few notes:
1. You say: "Based on Yahoo and Google" and I'd like to add that it is based also on Dmoz and Wikipedia.

2.You say: "it lacks the context" and I'd like to add that there's a link to the source so once you found something interesting you click on that link and get the context.

3. BTW for me micro content is not a technical term but a vision - I hope to help convert the MACRO CONTENT WWW to micro contents, and I view QTSaver as a pioneer for making this needed change: today we get for most of our queries much more than we can chew - I think we deserve better.

Tagging Pictures is Bad Hunting

Searching pictures in any search engine is very clumsy and inaccurate. It depends totally on the description of the picture or on its tags (in case it is tagged on a photo sharing on line software like Flickr). The tags (or descriptions) are focused on the interests of the tagger, which don't always match the needs of the other WWW users.

E.g. I'm interested in Stars of David. There are dozens of pictures in Flickr which are tagged Menorah but include Stars of David. There are other items on these pictures which are not retrievable since the only thing that interested the tagger was the Menorah. Let's say that there are ten interesting items on each picture - imagine how much information is lost only because we (WWW users) don't tag properly.

This problem doesn't exist on text search. All the text "items" are retrievable.

I am quite skeptical about finding possible solutions for this problem, but I believe the more we use micro content anthologies the easier it will be to retrieve these "lost sheep". For example, I hope that in my micro content project people will find pictures that deal with Stars of David and were not tagged by the relevant tags in the place where I found them. The same goes for other websites that collect everything there is to know about a certain subject.

New ideas to promote your Website

One of my readers asked my advice how to promote his Website. I told him I'm not an expert but he insisted. So here is what I wrote him based on my own experience:

1. Update - It is better to update 3 times a day with micro contents that once a week with macro contents.
2. Micro contents - If your website has already long articles you can break them down into many small units; publish each "chapter" in a separate page and erase the original (search engines punish you if you duplicate content).
3. comment on the discussion pages of Wikipedia and leave a link to your website - this will bring you many visitors since people turn first to Wikipedia when they need info and from there they go on their search (it helped me a lot - see the discussion page of the term Star of David).
4. Translate parts of your site to any other language on a separate blog. 
5. Traffic: read your traffic report and click the referrers' links to see who reads your articles. In case it's a blogger leave him a thank you comment with your link.
6. Letters to editors: send letters to editors of on line newspapers about the subjects you nurture in your website.

Searching Images

I published on my Micro Content Project more than 100 photos, most of them are published also on Flickr but when I look for Star of David blogspot OR Flickr on Yahoo Image Search I get only 7 photos none of them is mine. This is strange since Yahoo bought Flickr and one should expect that uploading to Flickr would end up in finding your images on Yahoo.
Same query on Google Image Search got me more or less same results.

What's going on here?
What's the policy of these giants toward our photos?
What do you have to do in order to find your photos there?
Do you know?

How to Reach the Top in MSN SERP

My subject matter is Stars of David. On the left side of this article you'll see a link to My MICRO CONTENT PROJECT and that's the place where I deal with it. There is a tough competition in this field – in Google there are 197,000,000 results for the query Star of David. Anyhow this morning my blog reached the first place on MSN SERP out of 10,467,906 results containing the words Star of David.

I want to tell you how I did it because I have a certain vision behind it:
1. Four months ago I opened a blog on Blogger. Blogs get priority on certain search engines and IMHO it's better to start a blog than to start a web site.
2. I entered my target keywords into my domain name – I heard that this may help promoting your site. [http://star-of-david.blogspot.com/]
3. Each Day I posted about three times– regular updating wins points for you on certain search engines.
4. I found all the content I needed on the WWW and edited it so that each posting was interesting, concise, and short. I added many photos (Creative-Commons and photos I shot) to prevent problems with copyrights. These two steps ensured that the reader will feel that he is treated respectfully and doesn't waste his time.

It took me four months, seven hours a day, and about 300 postings to reach the first placement on MSN SERP, but now I believe I (and each one of you) can repeat this achievement with any other subject matter. You can calculate the expenses easily. If you hire a student for four months, seven hours a day, his salary is what it costs to be first in your field in MSN. When I'll reach the first place in Google or Yahoo I'll try to calculate how much this will cost…

Any how the point is that finding content on the WWW is an obstacle. Snippets were misleading and I spent most of my time on opening irrelevant links and closing them. I believe QTSaver can save 75% of this lost time because it helps choose the right articles. It also helps a lot by suggesting words for further research. This means that the cost for placing whatever you want on the first link of MSN SERP will cost you only one month salary and to me it sounds like an excellent bargain.

The result is that people who are interested in Stars of David get answers on a totally different level of relevance than they are used to. Imagine what will happen when millions of sites will become collections of micro contents on a special subject. It will change the WWW from Chaos to a friendly neighborhood. That's my vision. This is what I'm working on. Search Engine Optimizers that will understand the economic benefits of this vision will make it happen. Not because they believe in a better visual reality, but because this is the shortest and cheapest way to get to the top.

Right now QTSaver is not ready for this kind of operation since it retrieves only from the first dozens of results, but it is quite simple to change the algorithm so that QTSaver will work on all the SERP. Now I need an investor to make this happen. -Any volunteers?

Finding New Data for Your Research

On the left side of this article you'll see a link to my MICRO CONTENT PROJECT which contains already 279 postings. The first 50 were quite easy to get: I entered the search words "Star of David" into Google and read the results one after the other. After a few dozen articles the data started recurring in such percentage that I had to change tactics.

I found out that new data is hiding around unique keywords like Capernaum, where one of the oldest Jewish Star of David was found, or Theodor Herzl who promoted this emblem in the Zionist movement. So I started collecting unique keywords on my Microsoft Access.

The question is if we can automate this process. In QTSaver we have a special algorithm. For example: for the query Star of David I got the following announcement: "QTSaver finds that the following words may help you think about what you're looking for... Click on a word to add it to your search query:

Jewish
Symbol
Jews
Shield
Triangle
Flag
Israel
God
Hexagram
Sign
Judaism

A similar result is suggested at
http://inventory.overture.com/d/searchinventory/suggestion/
where I got for the same query a long list of suggestions arranged by frequency of Searches done in June 2006 :
6019 david star
511 david picture star
399 david jewelry star
306 david meaning star
273 david necklace star
244 david jewish star
243 david star tattoo
222 david foster search star
200 david pendant star
155 david history star

This is good for the first steps of your research, but let me tell you a secret: for what I need after finding data for 279 postings these suggestions aren't useful at all; adding each one of them to my "Star of David" query will bring only more "noise". What I mean by finding unique keywords is more like this:
"As Above As Below"; "boundary stone"; "wedding stone"; " David Alroy"; "David Gans"; " David Hareuveni"; Dormizion; Eder Asher; " Hashomer Hatzair"; " Isaac Luria"…
I don't believe we have such a filter in the market, but I'm working on it, and I'm anxious to read your suggestions.

Skype Directory

On February 15, 2006 I wrote about the need to make a Skype Yellow-Pages (see: http://qtsaver.blogspot.com/2006/02/skype-yellow-pages.html). Now one of my readers notifies me that Skype Yellow Pages is already existing on http://www.skype-directory.com. This is great news. I checked it out and it is a small directory, but it looks exactly the way I imagined it. I'm not suggesting they did it because they read my posting - I just feel good that I saw it coming.

Now I tell you that search engine users need a micro content search on top of the existing macro content search and that users need better snippets. Let's see if this vision will also find its happy ending.

Mreining

I just got a Google Alert about an event that happened on Oct 2, 2005 – mreining blinklisted QTSaver and that's what he wrote:

Try out QTSaver on http://qtsaver.dynalias.com/. It is a Web 2.0 micro-content aggregator. Can come in very handy when you are looking up information about a new topic. I love how the info is presented. Much more digestible than starting with Google.com

Filed under research tool, micro content, aggregator, search, qtsaver, online discovery by mreining.

Thanks for your support, mreining.

Micro Content Project

In the last three months I was posting to my new blog about the star-of-david. This is an online Micro Content Project which can be a model for any research. I want to find everything I can about my subject (Star of David in my case);
1. I get thousands of results for my queries.
2. I enter each result and copy what I need to a new document.
3. The first five results are great!
4. After the first 50 results things are repeating themselves and I get lost.

The snippets under each link of the search engines are misleading. They promise a relevant micro content and find an irrelevant one, or a duplicate of what I already found. It takes hours to find a new item after the first 100 results.

Qtsaver can solve this problem if we build a new version that will give RELEVANT snippets for thousands of results; but we need an investor to make this happen…

More Compliments

Dave wrote about Ori Alon a comprehensive article on http://www.passingnotes.com/index.php/google-bought-an-algorithm-but-dont-get-your-panties-in-a-bunch/ and on his way left me some compliments:

do keep in mind that there is already traction in this space - and orion (ori allon’s algorithm and concept that none of us can use) is similar in spirit to qtsaver (i was totally sucked into the blog behind this engine btw) …okay, yeah, read more about all of this orion discussion in detail if you want http://qtsaver.blogspot.com/2005/11/orion-ori-allon.html, and then tell me if you get a kick out of this very interesting new micro-content search engine called qtsaver (extracts micro-content from existing search engines, so perhaps similar in spirit? or is this a leap of faith or a wicked stretch of the imagination when comparing these?) …or did other search engines conceive of this a long, long time ago? …or instead of just qtsaver, check out surfnotes (a patent pending algorithm though, not issued)…or check out the concept from q-phrase (”ConceptQ works in conjunction with Google, MSN, Wikipedia and other major search engines.”)…the dude from qtsaver turned me on to both of those btw, so do keep an eye on his blog!

Search Strategy

In the last few days I was busy answering questions on Yahoo Answers, trying to show the world how efficient is QTSaver, the microcontent engine.

 

Searching requires a lot of patience – one attempt is not always enough. You have to refine your query, add some words or take off others until you get what you want.

 

Most important is to check if the spelling of your search words is correct. Many people enter their misspellings into Google search window, hoping the spell checker will suggest them the right spelling. Others check whether the number of the results is enough to conclude that the spelling is right.

 

This morning I tried to answer the following question:

 

How is the Building Mosque Al-Aqsa?

 

Entering search words "Al-Aqsa" into QTSaver brought me irrelevant sentences like: Al-Aqsa Intifada, Al-Aqsa Martyrs Brigades. Anyhow there was no info about the Building.

 

 Entering search words "Al-Aqsa building" into QTSaver brought me info about building attempts in Al-Aqsa but not a description of the building.

 

Only my third attempt in which I entered the search words "Al-Aqsa Mosque description" brought me the answers I wanted.

 

Using the best search engine doesn't guarantee success. I guess that's why so many people use Yahoo Answers. Their searches fail and they hope that somebody in the world will find the right words for their query…

 

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MicroContent Local Search

The more words you put into the search engine's query window the less results you get.  Local search reduces search results- it is like adding a name of a place to every query. Actually you can make a local search on any general search engine by adding a name of the place to your original search words – like: Madonna + New York.

 

But local search engines not only save entering names of places - they collect not only pages that mention the name of the desired place but also pages that belong to the place without mentioning it, like webpages belonging to certain businesses that are situated in the desired place. Local search engines may even identify users' location and retrieve results which are relevant to it.

 

Search localization is a new phenomenon and it is developed  simultaneously by all the mane players in the search engines arena: Google, Yahoo!/Overture, AOL and MSN, and by others.

 

Local searches have one big disadvantage – they are MACRO CONTENTS, which means that if the page talks one time about the place you want and 100 times about other places you'll have to ignore the irrelevant paragraphs in order to find the one you love. This can be really exhausting when you want to collect information from several Websites.

 

I believe QTSaver can be a great  improvement to local search engines, because it collects only the relevant paragraphs. Today QTSaver runs only on the first top results but my dream is that in the future it will run on all the millions of search results and collect all the relevant paragraphs to a separate database. Such a system will have the chance to be called a perfect  local search engine.

 

 

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Arnaud Leene

Arnaud Leene wrote on his Microcomtent Musings site about My idea to create a public yellow pages directory on Google Base:

I have mixed feelings about this. I stopped adding my personal information on services. By now my profile can be found on many social networking services and all other services I try out. My information is out there and on my personal web-site. I am still waiting for a party that gathers this information and creates something new. I am not waiting for yet another place to put my info.

 

Thanks, Arnaud. Just to show my gratitude this QTSaver retrieval is dedicated to you:

 

Search results for Leene musings

http://www.unmediated.org/archives/2005/06/microcontent_co_1.php

On the MicroLearning Conference in Innsbruck, Austria 23-24 June 2005 Arnaud Leene presented the various aspects of what is called MicroContent.He made it clear what MicroContent really is and coined a MicroContent definition.

Technorati tagged more MicroContent and MicroLearning musings of this presentation. Also see Arnaud's blogged musings on MicroContent.

http://plasticthinking.org/2005_06_01_.html

Arnaud Leene (MicroContent Musings), who is also going to be at Microlearning 2005, published a first draft of his paper: "MicroContent is Everywhere" (PDF).I think it is a good point that he mentions how microcontent gets structured through the use of metadata, calling it Structured Microcontent. Very interesting is the lifecycle of microcontent items he describes: creation, storage, publication, viewing, changing and removing.

http://www.burningchrome.com/~cdent/mt/archives/000419.html

I've started reading Arnaud Leene's Microcontent Musings.

1. http://plasticthinking.org/2005_06_01_.html

It was great to meet Sebastian Fiedler and Chris Langreiter again, and I also got to know Michael Schuster (twoday.net), Roger Fischer (kaywa.ch), Seb Paquet, Bryan Alexander, Arnaud Leene, Norm Friesen, Hagen Graf, Andrea Handl, Renate Millebner, Patricia K?ll, Wolf Hilzensauer, Gernot Tscherteu, Junichi Azuma, Bruno Haid and many others. I found both the discussions and presentations on MicroContent and MicroLearning as well as the social networking very rewarding, and hope that we will not stop here but transform and establish this discourse on the web. I will write more about this later, I just need some time to let things settle a bit.

 

http://phaidon.philo.at/martin/archives/000298.html

Web 2.0 is based on openly accessable microcontent (for a definition of “microcontent” see here and of course microcontent musings) – it resembles more a field of dynamic content “clouds” than an archive of web “pages” and “documents”. The result is an infrastructure that is open, decentralized, bottom-up and self-organizing.

http://kinrowan.net/blog/wp/archives/2005/08/19/wondiring-musings-on-wondir-20/feed

This thread started as a post on Wondirblogging, languished for a while and resurfaced with Arnaud Leene's Wondir MicroContent post, which I responded to here with Micro-Wondir, and he followed up again with Wondir continued.

 

 

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Tag Cloud

Tag clouds are much more meaningful to their creators than to casual visitors. I know it from my own experience. My tag cloud on Blinklist illustrates clearly my main interests but I will prove to you that they are subjective and reveal more to me than they reveal to you. This is a problem that tag architects should consider.

1. I divide my Blog posting by using two tags:
   A. "QTSaver" - my Blog posting about QTSaver
   B. "Blog" - my postings about my blog.
2. "Free web School" is a collection of links about free study resources that I made when I was dealing with Education for All.
3. "Publishing" is a tag I give for every site that mentions QTSaver. Each time I discover through my Site Meter search engines that I didn't know.
4. "Micro-content" is my main field of research.
5. "Research" is a tag I gave mainly to links I collected for a research about gambling that was meant to explore the power of QTSaver to learn a new subject.
6. "Comment" is a tag for links to comments I left on other Bloggers sites.

And here's MyMicroPedia about the term "Tag Cloud":

http://en.wikipedia.org/wiki/Tag_cloud

1. A tag cloud on the popular photo sharing site Flickr.
2. A tag cloud (more traditionally known as a weighted list in the field of visual design) is a visual depiction of content tags used on a website. Often, more frequently used tags are depicted in a larger font or otherwise emphasized, while the displayed order is generally alphabetical. Thus both finding a tag by alphabet and by popularity is possible.
3. Selecting a single tag within a tag cloud will generally lead to a collection of items that are associated with that tag.
4. The first tag cloud appeared on Flickr, the photo sharing site. That implementation was based on Jim Flanagan's Search Referral Zeitgeist, a visualization of web site referrers. Tag clouds have also been popularized by Technorati, among others.
5. VZ Local Search - Verizon's tag cloud based on popularity of user's local search terms
6. Pacificepoch.com - enhanced tag cloud with related tags highlighting, and shades to indicate relationship strength
7. Tagrolls generates HTML code to display your del.icio.us tag cloud

 http://www.petefreitag.com/item/396.cfm

1. I actually find my tag cloud quite handy because it lists all my tags on one page, and I can see what topics I post about most frequently quite easily.I also use it as a way to see which tags I have already used, so I can be consistent when tagging posts.
2. At this point you may be wondering what's a tag cloud?
3. In my tag cloud I list all my tags, but if you have a lot of tags you may want to limit the min number of occurrences using a HAVING statement.
4. You can define the distribution to be more granular if you like by dividing by a larger number, and using more font sizes below. You will probably need to play with this to get your tag cloud to look good.
5. There are probably lots of different ways to build a tag cloud, but this is the first method that came to mind.
6. Tag Cloud per AVBlog Andrea Veggiani - Blog personale

 http://weblog.infoworld.com/udell/2005/12/23.html

1. Chris Gemignani at Juice Analytics has a much better treatment of tag cloud animation than the one I came up with the other day.

http://www.zeldman.com/daily/0405d.shtml

1. Businesses are shoveling them into interface makeovers, with predictably mixed success. Thus Lulu, a company that helps people publish their own books, CDs, and other products, offers a half-hearted tag cloud to help customers browse categories.

http://www.echochamberproject.com/tagcloud

1. Here is a "tag cloud" for all of the folksonomy tags used so far on EchoChamberProject.com.
2. The first tag cloud is ordered by frequency and the second is alphabetized:
3. Below is the alphabetized tag cloud...
4. I'm going to pass this link along to some Drupal developers to see anyone is interested in coding this type of tag cloud feature into a Drupal module -- I think it'd be a relatively simple thing to automate.
5. UPDATE: Greg Heller pointed me to Development Seed's tag cloud, and says that it's probably the "pop tags" Drupal module.So it may look like that this may already create this type of tag cloud.I have other ideas for what I want to do with this type of feature and Greg suggests that it might be possible to build on top of this module.
6. UPDATE: The http://drupal.org/project/tagadelic developer for Drupal actually dropped by my site to see the tag cloud I hacked together and left a comment that says that he's interested in potentially collaborating with what I've come up.So there you go -- I throw a proof-of-concept together and the ball has already started rolling to modify an existing solution that I didn't even know existed before this afternoon.

 

 

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Folksonomy

 Usually in order to succeed in making people tag a picture, a link, or any other microcontent – you need the support of a company. A company means more people, more publicity, and more connections. That's how Flickr, Google Maps, Del.icio.us etc. made it.

 

My initiative to create skype-yellow-pages as a peer production is doomed to failure only because it is a private initiative; unless a company adopts it …`

 

That's the reason I chose to collect the following info for MyMicroPedia:

 

http://en.wikipedia.org/wiki/Folksonomy

Folksonomy, a portmanteau word combining "folk" and "taxonomy," refers to the collaborative but unsophisticated way in which information is being categorized on the web. Instead of using a centralized form of classification, users are encouraged to assign freely chosen keywords (called tags) to pieces of information or data, a process known as tagging. Examples of web services that use tagging include those designed to allow users to publish and share photographs (Flickr), bookmarks (del.icio.us), social software generally, and most blog software, which permits authors to assign tags to each entry.

Folksonomy and the Semantic Web

A combination of the words folk (or folks) and taxonomy, the term folksonomy has been attributed to Thomas Vander Wal. "Taxonomy" is from the Greek taxis and nomos. Taxis means "classification", and nomos (or nomia) means "management".

"Folk" is from the Old English folc, meaning people. So "folksonomy" literally means "people's classification management".The features that would later be termed "folksonomy" appeared in del.icio.us in late 2003 and were quickly replicated in other social software.Thomas Vander Wal has stated that folksonomy is a subset of tagging and it is "tagging that works".

Folksonomy may hold the key to developing a Semantic Web, in which every Web page contains machine-readable metadata that describes its content. Such metadata would dramatically improve the precision (the percentage of relevant documents) in search engine retrieval lists. However, it is difficult to see how the large and varied community of Web page authors could be persuaded to add metadata to their pages in a consistent, reliable way; Web authors who wish to do so experience high entry costs because metadata systems are time-consuming to learn and use.

For this reason, few Web authors make use of the simple Dublin Core metadata system, even though the use of Dublin Core meta tags could increase their pages' prominence in search engine retrieval lists. In contrast to top-down controlled vocabularies such as Dublin Core, folksonomy is a distributed classification system with low entry costs. If folksonomy capabilities were built into the Web protocols, it is possible that the Semantic Web would develop more quickly.

Since folksonomies are user-generated and therefore inexpensive to implement, advocates of folksonomy believe that it provides a useful low-cost alternative to more traditional, institutionally supported taxonomies or controlled vocabularies. An employee-generated folksonomy could therefore be seen as an "emergent enterprise taxonomy". Some folksonomy advocates believe that it is useful in facilitating workplace democracy and the distribution of management tasks among people actually doing the work.

Jordan Willms on Gardened hierarchical folksonomy

Folksonomies - Cooperative Classification and Communication Through Shared Metadata by Adam Mathes Widely praised paper on folksonomy

Bruce Sterling article on folksonomy from Wired

Freetag, a generalized open source folksonomy implementation for PHP / MySQL applications

The Hive Mind: Folksonomies and User-Based Tagging by Ellyssa Kroski from InfoTangle.de:Folksonomy

Wikipedia:Articles for deletion/Folksonomy : http://en.wikipedia.org/wiki/Wikipedia:Articles_for_deletion/Folksonomy

Keep and prune example list. From my brief review of the Google results it looks like "folksonomy" has caught on.

Keep: tagging is just taking off. While I'm not fond of the word "folksonomy" to describe tagging, more and more people do use it.

Keep: While I hate neologisms like blogosphere and folksonomy, the concept is certainly relevant to a significant web population and should remain as an article.The list of examples is too messy, in my opinion (though I cleaned it up a bit).

Strong Keep: The term Folksonomy has risen quickly into the lime-light. 

Wikipedia:Articles for deletion/Gardened hierarchical folksonomy : http://en.wikipedia.org/wiki/Wikipedia:Articles_for_deletion/Gardened_hierarchical_folksonomy

Folksonomy is a close call, making this a clear delete. 

Wikipedia:Wikipedia Signpost/2005-07-18/Folksonomy and GNAA : http://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2005-07-18/Folksonomy_and_GNAA

The latter article is Folksonomy, which was nominated for deletion by an anonymous user who said, "Just because some self-proclaimed, vain 'online journalists' repeat a meme on their web-site in every post doesn't mean it is fit for inclusion in an encyclopedia. "The term, a neologism for collaborative categorization that has gained considerable usage, is often defined even in other sources by reference to the Wikipedia article.

http://en.wikipedia.org/wiki/Taxonomy

A recent neologism, folksonomy, should not be confused with Folk Taxonomy (though it is obviously a contraction of the two words).Those who support scientific taxonomies have recently criticized folksonomies by dubbing them fauxonomies. 

http://en.wikipedia.org/wiki/Social_software

Some sites offer a buddy system, as a well as virtual checking out of items for borrowing among friends. Folksonomy is implemented on most sites. Examples include discogs.com for music and bibliophil.org for books. 

http://en.wikipedia.org/wiki/Tag_%28disambiguation%29

Tags are descriptors that individuals assign to objects, in the practice of collaborative categorization known as Folksonomy. 

http://en.wikipedia.org/wiki/Last.fm

With the August 2005 relaunch, Last.fm supports end-user tagging of artists, albums, and tracks to create a sitewide Folksonomy of music. Users can browse via tags, but the most important benefit is tag radio, permitting users to play music that has been tagged a certain way. This tagging can be by genre ("garage rock"), mood ("chill"), artist characteristic ("baritone"), or any other form of user-defined classification ("singers Sarah would like").

 

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