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The relentless growth in capacity and dropping price of storage are driving an explosion in the amount of information users are collecting and storing in personal information management systems. This explosion of information has led to a critical need for complex search tools to access often very heterogeneous data in a simple and efficient manner. Such tools should provide both high-quality flexible scoring mechanisms and efficient query processing capabilities. In this paper, the authors focus on indexes and algorithms to efficiently identify the most relevant files that match multi-dimensional queries comprised of relaxed content, metadata, and structure conditions.
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