AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI   Info

Public Audience

English

60 Minutes

Saarbrücken

Web archives are similar to the history books, in which one can see what happened in the past. They accumulate and store valuable information with the corresponding timestamps. Hence, temporal Mining and analytics of this data is required to understand how things were done and recorded in a specific time in the past. However, as history enlarges by the time passing, web archives also become increasingly large-scale. Distributed approaches can help in this case. Our solution is to do the temporal analytics on query results over web archives using MapReduce, a programming model in which the programs are automatically parallelized. For us to have distributed analytics over query results, we should have the indexed data distributed into machines before hand, which is distributed indexing.

Jennifer Gerling

225

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