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2015 | OriginalPaper | Chapter

Web Archive Profiling Through CDX Summarization

Authors : Sawood Alam, Michael L. Nelson, Herbert Van de Sompel, Lyudmila L. Balakireva, Harihar Shankar, David S. H. Rosenthal

Published in: Research and Advanced Technology for Digital Libraries

Publisher: Springer International Publishing

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Abstract

With the proliferation of public web archives, it is becoming more important to better profile their contents, both to understand their immense holdings as well as support routing of requests in the Memento aggregator. To save time, the Memento aggregator should only poll the archives that are likely to have a copy of the requested URI. Using the CDX files produced after crawling, we can generate profiles of the archives that summarize their holdings and can be used to inform routing of the Memento aggregator’s URI requests. Previous work in profiling ranged from using full URIs (no false positives, but with large profiles) to using only top-level domains (TLDs) (smaller profiles, but with many false positives). This work explores strategies in between these two extremes. In our experiments, we gained up to 22 % routing precision with less than 5 % relative cost as compared to the complete knowledge profile without any false negatives. With respect to the TLD-only profile, the registered domain profile doubled the routing precision, while complete hostname and one path segment gave a five fold increase in routing precision.

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Footnotes
2
CDX files are created as an index of the WARC [10] files generated from the Heritrix web crawler; see [8] for a description of the CDX file format.
 
5
In our dataset Archive-It has 0.71 % non-HTTP entries in their CDX files while UKWA has no non-HTTP entries.
 
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Metadata
Title
Web Archive Profiling Through CDX Summarization
Authors
Sawood Alam
Michael L. Nelson
Herbert Van de Sompel
Lyudmila L. Balakireva
Harihar Shankar
David S. H. Rosenthal
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-24592-8_1

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