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With the adoption of timestamps and geotags on Web data, search engines are increasingly being asked questions of "where" and "when" in addition to the classic "what." In the case of Twitter, many tweets are tagged with location information as well as timestamps, creating a demand for query processors that can search both of these dimensions along with text. We propose 3W, a search framework for geotemporal stamped documents. It exploits the structure of time-stamped data to dramatically shrinkdoi:10.1145/2675354.2675358 dblp:conf/gir/NepomnyachiyGJM14 fatcat:e7mrj576uvdennsmxajmjq6wh4