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- W2296180639 abstract "Database Management Systems (DBMSs) have been rapidly evolving in the recent years, exploring ways to store multi-structured data or to involve human processes during query execution. In this paper, we outline a future avenue for DBMSs supporting transactive memory queries that can only be answered by a collection of individuals connected through a given interaction graph. We present TransactiveDB and its ecosystem, which allow users to pose queries in order to reconstruct collective human memories. We describe a set of new transactive operators including TUnion, TFill, TJoin, and TProjection. We also describe how TransactiveDB leverages transactive operators---by mixing query execution, social network analysis and human computation---in order to effectively and efficiently tap into the memories of all targeted users." @default.
- W2296180639 created "2016-06-24" @default.
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- W2296180639 date "2014-10-01" @default.
- W2296180639 modified "2023-10-01" @default.
- W2296180639 title "TransactiveDB" @default.
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- W2296180639 doi "https://doi.org/10.14778/2733085.2733102" @default.
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