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- W2913304067 abstract "Provenance is an increasingly important aspect of data management that is often underestimated and neglected by practitioners. In our work, we target the problem of reconstructing provenance of files in a shared folder setting, assuming that only standard filesystem metadata are available. We propose a content-based approach that is able to reconstruct provenance automatically, leveraging several similarity measures and edit distance algorithms, adapting and integrating them into a multi-signal pipeline. We discuss our research methodology and show some promising preliminary results." @default.
- W2913304067 created "2019-02-21" @default.
- W2913304067 creator A5073301822 @default.
- W2913304067 date "2012-01-01" @default.
- W2913304067 modified "2023-10-16" @default.
- W2913304067 title "Reconstructing Provenance" @default.
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- W2913304067 doi "https://doi.org/10.1007/978-3-642-35173-0_29" @default.
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