门户网站数据质量评估的概率方法

Angélica Caro, C. Calero, E. Mendes, M. Piattini
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引用次数: 113

摘要

技术的进步和Internet的使用促进了大量Web应用程序的出现,包括Web门户。Web门户提供了获取大量信息的手段,因此所提供的信息的高质量至关重要。近年来,一些研究项目对Web数据质量进行了研究;然而,没有人关注Web门户环境中的数据质量。因此,本研究的贡献在于提供了一个以数据使用者的观点为中心的框架,该框架使用概率方法对Web门户的数据质量进行评估。本文在前人工作的基础上给出了运营模型的定义。
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A Probabilistic Approach to Web Portal's Data Quality Evaluation
Advances in technology and the use of the Internet have favoured the emergence of a large number of Web applications, including Web Portals. Web portals provide the means to obtain a large amount of information therefore it is crucial that the information provided is of high quality. In recent years, several research projects have investigated Web Data Quality; however none has focused on data quality within the context of Web Portals. Therefore, the contribution of this research is to provide a framework centred on the point of view of data consumers, and that uses a probabilistic approach for Web portal's data quality evaluation. This paper shows the definition of operational model, based in our previous work.
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