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An increasing number of documents in companies and other organizations are now only available electronically, and exist in several versions updated at different times. In order to provide efficient support for temporal textcontainment queries (query for all versions of documents that contained one or more particular words at a particular time) temporal text-indexes are needed. In this paper we present DyST, a dynamic and scalable temporal text index. The goal of DyST is to provide the samedoi:10.1109/time.2006.12 dblp:conf/time/NorvagN06 fatcat:2lka2htlpjbk3ovpgmsnev6ilq