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Automated granularity to integrate digital information: the "Antarctic Treaty Searchable Database" case study

Authors:

Paul Arthur Berkman ,

Bren School of Environmental Science & Management, University of California, Santa Barbara, CA 93106, United States, EvREsearch LTD, 1611 Tennyson Court, Columbus, OH 43235, United States, US
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George James Morgan III,

EvREsearch LTD, 1611 Tennyson Court, Columbus, OH 43235, United States, Native Voices International, 4639 Cleveland Road, Wooster, OH 44691, United States, US
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Reagan Moore,

San Diego Supercomputer Center, University of California, San Diego, CA 92093, United States, US
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Babak Hamidzadeh

Office of Strategic Initiatives, Library of Congress, Washington, DC 20540, United States, US
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Abstract

Access to information is necessary, but not sufficient in our digital era. The challenge is to objectively integrate digital resources based on user-defined objectives for the purpose of discovering information relationships that facilitate interpretations and decision making. The Antarctic Treaty Searchable Database (http://aspire.nvi.net), which is in its sixth edition, provides an example of digital integration based on the automated generation of information granules that can be dynamically combined to reveal objective relationships within and between digital information resources. This case study further demonstrates that automated granularity and dynamic integration can be accomplished simply by utilizing the inherent structure of the digital information resources. Such information integration is relevant to library and archival programs that require long-term preservation of authentic digital resources.
DOI: http://doi.org/10.2481/dsj.5.84
How to Cite: Berkman, P.A. et al., (2006). Automated granularity to integrate digital information: the "Antarctic Treaty Searchable Database" case study. Data Science Journal. 5, pp.84–99. DOI: http://doi.org/10.2481/dsj.5.84
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Published on 28 Jun 2006.
Peer Reviewed

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