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Design and representation of complex objects in database systems

Published: 03 November 2015 Publication History

Abstract

In recent decades, applications like geospatial, genomic, and multimedia have made use of very large and diverse application objects such as spatial networks and protein structures. These objects are complex in the sense that they are highly structured and of variable size. Storing, accessing and manipulating them in a standard and efficient manner is very challenging. The state-of-the-art solutions handle such objects by using file system formats like HDF and XML, serialization technique like Protocol Buffers and BLOB data type in databases. However, specialized file format solutions lack any well established database system features, and neither a uniform concept nor mechanisms exist for supporting complex objects for BLOBs. In this article, a novel and database-friendly framework of specifying and interpreting complex objects is proposed. Empirical studies have shown that our approach outperforms prevailing methods with efficient processing time and less storage consumption.

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cover image ACM Conferences
SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 2015
646 pages
ISBN:9781450339674
DOI:10.1145/2820783
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 03 November 2015

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Author Tags

  1. big data
  2. complex object
  3. database system

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SIGSPATIAL'15
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SIGSPATIAL '15 Paper Acceptance Rate 38 of 212 submissions, 18%;
Overall Acceptance Rate 257 of 1,238 submissions, 21%

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