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EDBT
2008
ACM

Multi-dimensional search for personal information management systems

12 years 8 months ago
Multi-dimensional search for personal information management systems
With the explosion in the amount of semi-structured data users access and store in personal information management systems, there is a need for complex search tools to retrieve often very heterogeneous data in a simple and efficient way. Existing tools usually index text content, allowing for some IR-style ranking on the textual part of the query, but only consider structure (e.g., file directory) and metadata (e.g., date, file type) as filtering conditions. We propose a novel multi-dimensional approach to semi-structured data searches in personal information management systems by allowing users to provide fuzzy structure and metadata conditions in addition to keyword conditions. Our techniques provide a complex query interface that is more comprehensive than content-only searches as it considers three query dimensions (content, structure, metadata) in the search. We propose techniques to individually score each dimension, as well as a framework to integrate the three dimension scores...
Amélie Marian, Christopher Peery, Thu D. Ng
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2008
Where EDBT
Authors Amélie Marian, Christopher Peery, Thu D. Nguyen, Wei Wang 0014
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