| Abstract |
Sara Magliacane
Title: Reconstructing Provenance
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 meta-data 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.
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Presenter: Laurens Rietveld
Title: Replication for Linked Data
Abstract: Data replication between triple-stores is becoming important, as more and more stores can see their role change from that of a static content delivery system to a read and write content deposit. This talk will be a short introduction into data replication, its challenges, and relevant research questions
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