As the size of scientific and commercial datasets grows, it becomes imperative that an expressive metadata framework to be developed to facilitate access to the semantics of the data. However, the drive to enhance expressiveness and maximize performance often turns out to be contradictory. Hence, the design of metadata framework needs to take into consideration many factors in order to achieve balance between expressive power and performance. In this paper, we discuss the metadata framework developed for PetaShare and explain the design and implementation decisions we made in the process. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Wang, X., & Kosar, T. (2009). Design and implementation of metadata system in petashare. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5566 LNCS, pp. 191–199). https://doi.org/10.1007/978-3-642-02279-1_14
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