Halloween Taxonomy of Horrors

One of the biggest questions floating around every year in October is this: “What movies will you watch this month?”—or some derivative of that. All the major networks play their own hand-picked list of 25-50 “horror” movies all month long. Farms open their doors to a public that can roam around haunted barns and mazes;…

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The Value Added by Folksonomies

As content is organized, the standard approaches include hierarchical or flat. One or both utilize tags to put labels on the content, which makes the information easily retrievable when the user needs access. Tags can be used as a part of filtering search queries or fixed views of a content source. Tags are created in…

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Slang or Vintage?

I am fascinated by words. Their meaning, their history, their multiple uses – all of this and more draws me to dig deeper in vocabulary. I am a “word of the day” kind of gal. One interesting and slightly humorous find came from NPR in their article, “Do We Talk Funny? 51 American Colloquialisms.” The regional…

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New Book Addresses Ontologies

Woodhead Publishing Ltd’s new book “Library Classification Trends in the 21st Century” traces the development in and around library classification as reported in literature published in the first decade of the 21st century.

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Flickr as a Folksonomy

Remember when you took film to be developed and then shared your packets of memories with friends? It seems so nostalgic, but this routine was occurring only a few years ago. Then came the age of digital photos which led to online photo sites, of which Flickr was born.

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Not True!

The Autonomy folks must be getting worried about the progress of taxonomy applications and the precision and recall that such systems provide. Autonomy and Google live on relevance rankings as the return to the user. Relevance to me is a confidence game. It is the best guess of the system as to whether the results returned will actually match the user’s request. If you have a big enough data set returned, certainly something in there will be useful. But the sheer amount of items the user has to review (or amount of noise they have to look at) is very annoying. So they rank the returns by relevance based on a number of statistical factors so the most likely items based on co-occurrence with terms matches and near matches will appear at the top of the list – that is, they will be relevance ranked.

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