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Data mapping framework in a digital library with computational epidemiology datasets

Published: 08 September 2014 Publication History

Abstract

Computational epidemiology employs computer models and informatics tools to reason about the spatio-temporal spread of diseases. The diversity of models, data sources, data representations, and modalities that are collected, used, and modified motivate the development of a digital library (DL) framework to support computational epidemiology. The heterogeneous content includes metadata, text, tables, spreadsheets, experimental descriptions, and large result files. There is no accepted framework that allows unified access to such content. We propose a framework for a digital library system tailored to such datasets to support computational network epidemiology.

References

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"Interface to synthetic information systems (ISIS), 2014." {Online}. Available: http://ndssl.vbi.vt.edu/apps/isis/
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K. R. Bisset, J. Chen, X. Feng, V. A. Kumar, and M. V. Marathe, "Epifast: A fast algorithm for large scale realistic epidemic simulations on distributed memory systems," in Proceedings of the 23rd International Conference on Supercomputing, ser. ICS '09. New York, NY, USA: ACM, 2009, pp. 430--439. {Online}. Available: http://doi.acm.org/10.1145/1542275.1542336
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C. Bizer and R. Cyganiak, "D2R Server - publishing relational databases on the semantic web," 2006. {Online}. Available: http://www4.wiwiss.fu-berlin.de/bizer/pub/Bizer-Cyganiak-D2R-Server-ISWC2006.pdf
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"Virtuoso open-source edition, 2014." {Online}. Available: http://www.openlinksw.com/dataspace/doc/dav/wiki/Main/

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Published In

cover image ACM Conferences
JCDL '14: Proceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries
September 2014
498 pages
ISBN:9781479955695

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IEEE Press

Publication History

Published: 08 September 2014

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Author Tags

  1. digital library
  2. epidemiology
  3. simulation

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  • Research-article

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JCDL '14
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JCDL '14: 14th ACM/IEEE-CS Joint Conference on Digital Libraries
September 8 - 12, 2014
London, United Kingdom

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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JCDL '24
The 2024 ACM/IEEE Joint Conference on Digital Libraries
December 16 - 20, 2024
Hong Kong , China

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