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Published in:
2012 | OriginalPaper | Chapter
Reconstructing Provenance
Author : Sara Magliacane
Published in: The Semantic Web – ISWC 2012
Publisher: Springer Berlin Heidelberg
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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.