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The amount of data that users are storing and accessing in personal information systems is growing massively. At the same time, the organization of this data is becoming more heterogeneous, with data spread across different organizational domains such as emails, music databases, and photo albums, some of which are structured by applications rather than users. Powerful search tools are needed to help users locate data in these rapidly expanding yet fragmented data sets. In this paper, the authors present a novel fuzzy search approach that considers approximate matches to structure and content query conditions.
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