Exploratory Analysis of a Terabyte Scale Web Corpus

Vasilis Kolias, Ioannis Anagnostopoulos, Eleftherios Kayafas

Abstract

In this paper we present a preliminary analysis over the largest publicly accessible web dataset: the Common Crawl Corpus. We measure nine web characteristics from two levels of granularity using MapReduce and we comment on the initial observations over a fraction of it. To the best of our knowledge two of the characteristics, the language distribution and the HTML version of pages have not been analyzed in previous work, while the specific dataset has been only analyzed on page level.

Keywords

web characterization, web measurement, big data, mapreduce

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IMEKO-TC4-2014-291.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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