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- W1487681641 abstract "The webLyzard project generates empirical Web data by processing large samples of Web sites automatically. It mirrors more than 5,000 international Web sites in monthly intervals and has amassed Web data in excess of one terabyte since 1999. Structural and textual analyses convert the wealth of information contained in the sample into detailed site profiles and aggregated content representations. A distributed approach promises to increase both sample size and the frequency of data gathering. This paper presents a roadmap towards distributed Web assessment, extending and revising the current system architecture to enhance its scalability and flexibility for investigating the dynamics of electronic content." @default.
- W1487681641 created "2016-06-24" @default.
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- W1487681641 date "2004-01-01" @default.
- W1487681641 modified "2023-09-26" @default.
- W1487681641 title "A Roadmap Towards Distributed Web Assessment" @default.
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- W1487681641 doi "https://doi.org/10.1007/978-3-540-27834-4_22" @default.
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