WAI › Schedule › 2012 › 05 nov

Title : Two short Doctoral Consortium presentations: "Replication for Linked Data" and "Reconstructing Provenance"

Presenter Laurens Rietveld
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. ########################################################### 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

Title : On-line Evolution of Controllers for Aggregating Swam Robots in Changing Environments

Presenter Berend Weel
Abstract One of the grand challenges in self-configurable robotics is to enable robots to change their configuration, autonomously, and in parallel, depending on changes in the environment. We investigate –in simulation– if this is possible through evolutionary algorithms (EA). To this end, we implement a nonconventional on-line, on-board EA that works inside the robots, adapting their controllers to a given environment on-the-fly. This adaptive robot swarm is then exposed to changing circumstances that require that robots aggregate into “organisms” or disaggregate into swarm mode again to improve their fitness. The experimental results clearly demonstrate that this EA is capable of adapting the system in real time, without human intervention.