TransactiveDB: Tapping into collective human memories

Michele Catastay, Alberto Tonon, Djellel Eddine Difallah, Gianluca Demartini, Karl Aberery, Philippe CudreMauroux

Research output: Contribution to journalConference articlepeer-review

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 eficiently tap into the memories of all targeted users.

Original languageEnglish (US)
Pages (from-to)1977-1980
Number of pages4
JournalProceedings of the VLDB Endowment
Volume7
Issue number14
DOIs
StatePublished - Oct 2014
EventProceedings of the 40th International Conference on Very Large Data Bases, VLDB 2014 - Hangzhou, China
Duration: Sep 1 2014Sep 5 2014

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • General Computer Science

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