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ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
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Proceedings of the 2006 ACM SIGMOD international conference on Management of data
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VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
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Proceedings of the 2007 ACM SIGMOD international conference on Management of data
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Proceedings of the 2007 ACM SIGMOD international conference on Management of data
An annotation management system for relational databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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BIRTE'06 Proceedings of the 1st international conference on Business intelligence for the real-time enterprises
User-Centric Annotation Management for Biological Data
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SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
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Annotations play an increasingly crucial role in scientific exploration and discovery, as the amount of data and the level of collaboration among scientists increase. In this paper, we introduce ViP, a user-centric, view-based annotation framework that promotes annotations as first-class citizens. ViP introduces novel ways of propagating annotations, empowering users to express their preferences over the time and network semantics of annotations. To efficiently support such novel functionality, ViP utilizes database views and introduces new caching techniques. Through an extensive experimental study on a real system, we show that ViP can seamlessly introduce new annotation propagation semantics while significantly improving the performance over the current state of the art.