Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Anchoring data quality dimensions in ontological foundations
Communications of the ACM
The impact of poor data quality on the typical enterprise
Communications of the ACM
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Does “authority” mean quality? predicting expert quality ratings of Web documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Communications of the ACM - Supporting community and building social capital
Modern Information Retrieval
ACM Journal of Computer Documentation (JCD)
Dynamics of collaborative document rating systems
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
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Information retrieval algorithms demand datasets to assess their effectiveness. However, access to such datasets is often difficult and expensive, since building them is a time-consuming and costly task. This work presents a collaborative approach to dataset creation that uses a data quality evaluation technique based on fuzzy theory, to assist users in selecting suitable web documents for their datasets. These documents are automatically captured by a crawler and evaluated on information derived from their metadata.