Credibility-enhanced curated database: Improving the value of curated databases

Authoritative Citation

IEEE 26th International Conference on Data Engineering (ICDE), 2010 Issue Date: 1-6 March 2010 page(s): 784 - 795; Long Beach, CA


In curated databases, annotations may contain opinions different from those in sources. Moreover, annotations may contradict each other and have uncertainty. Such situations result in a natural question: "Which opinion is most likely to be correct?" In this paper, we define a credibility-enhanced curated database and propose an efficient method to accurately evaluate the correctness of sources and annotations in curated databases.


database management systems, uncertainty handling

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