A "quick and dirty" website data quality indicator

  title={A "quick and dirty" website data quality indicator},
  author={Irit Askira Gelman and Anthony L. Barletta},
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
Highly Cited
This paper has 18 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.
Showing 1-10 of 12 extracted citations


Publications referenced by this paper.
Showing 1-5 of 5 references

A Methodology for Information Quality Management in Self-Healing Web Services, 11th International Conference on Information Quality (ICIQ-06)

C. Cappielo, B. Pernici
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…