ViP: a User-centric View-based Annotation Framework for Scientific Data
DocUID: 2008-011 Full Text:
PDF Author: Qinglan Li, Alexandros Labrinidis, Panos K. Chrysanthis
Abstract: 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.
Published In: Proc. of the 20th International Conference on Scientific and Statistical Database Management
ISBN: 978-3-540-69476-2
Pages: pp. 295-312
Place Published: Hong Kong, China
Year Published: 2008
Note: DOI:10.1007/978-3-540-69497-7_20
Project: CMPI Subject Area: Caching, Annotation Management
Publication Type: Conference Paper
Sponsor: NIH-NIAID NO1-AI50018
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