Monday, June 11, 2007

Idea Note: Vikipedia - Vertical Wiki Encyclopedia

One of the best ways to know broadly (and/or deeply) a certain topic is to read a state-of-the-art article such as review, survey, or introduction papers. Last week, I read a survey paper about clustering algorithms. Although a few survey papers about clustering algorithms are avabile - either long or short, it is a "recent", good, and extensive one. The important point is 'recent'. It was published at May 2005. However, the original submission date was May 2003. I think the first work was started at least 6 months (or 1 year) before its submission. The paper may include references published during the review/revision period (2003 to 2005); however, most of the references are published before 2003. This is the clue. No paper can extensively and broadly contain all the recent works. At this point, the 'wikipedia' may be helpful. Yes, let's use 'collective intelligence' here again. Wikipedia is very excellent -- timely updates and broad topics; but too broad to focus on a particular topic. Therefore, I suggest 'vikipedia' -- wikipedia for a vertical domain. .. For example, a viki page for clustering algorithms has descriptions about clustering such as introduction, concept, history, applications, available tools and implementations (including both commercial ones and open sources), sample data sets, references and/or hyperlinks, etc. I think, this can make quite an impact on the advances of associated (vertical) researches.

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