A "quick and dirty" website data quality indicator

@inproceedings{Gelman2008AA,
  title={A "quick and dirty" website data quality indicator},
  author={Irit Askira Gelman and Anthony L. Barletta},
  booktitle={WICOW},
  year={2008}
}
This short paper outlines a research study in progress, which is motivated by the perception that the spelling error rate of a document can serve as a rudimentary proxy for the degree of quality control exercised in its creation, and, subsequently, indicate its quality. One objective of this research is to validate this understanding. Ultimately, the goal of this research is to take advantage of such an association. In particular, we propose a simple, "quick and dirty" metric for assisting in… CONTINUE READING
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A Methodology for Information Quality Management in Self-Healing Web Services, 11th International Conference on Information Quality (ICIQ-06)

C. Cappielo, B. Pernici
2006
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