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S&P Rts Luverne, Minn.'s Tax Increment GO Bonds BBB+ Dec 97. Edition No. 1
VDM Publishing House, June 2008, Pages: 80
The massive growth in size of the Internet has resulted in increased difficulty in
organizing and searching through the information present on it. Several strategies have
been employed to tackle this problem. With the coming of Web2.0, user-created data and
sharing of information among peers, folksonomy has become the norm for categorization of
data. The loose structure of folksonomy has led to easier categorization of the huge
amounts of information but has also given rise to some serious problems. Users tag
information based on their own experiences, preferences and common sense. This leads to
difficulties in searching and organization of information. In this work, we describe that since user common sense has generated both folksonomy and a corpus of machine
common sense, it seems appropriate that the common sense be used for addressing the
problem of search in folksonomy. An architecture for such an operation will be created which allows the application of machine common sense and user personalization to address the issues of search in folksonomy-based systems.
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