The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
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
Using Probabilistic Information in Data Integration
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Management of probabilistic data: foundations and challenges
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Truth Discovery with Multiple Conflicting Information Providers on the Web
IEEE Transactions on Knowledge and Data Engineering
A probabilistic model of redundancy in information extraction
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Integrating conflicting data: the role of source dependence
Proceedings of the VLDB Endowment
Truth discovery and copying detection in a dynamic world
Proceedings of the VLDB Endowment
Corroborating information from disagreeing views
Proceedings of the third ACM international conference on Web search and data mining
Exploiting information redundancy to wring out structured data from the web
Proceedings of the 19th international conference on World wide web
Redundancy-driven web data extraction and integration
Procceedings of the 13th International Workshop on the Web and Databases
Probabilistic models to reconcile complex data from inaccurate data sources
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Global detection of complex copying relationships between sources
Proceedings of the VLDB Endowment
Data Quality: Concepts, Methodologies and Techniques
Data Quality: Concepts, Methodologies and Techniques
Information Systems and e-Business Management
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An increasing number of web sites offer structured information about recognizable concepts, relevant to many application domains, such as finance, sport, commercial products. However, web data is inherently imprecise and uncertain, and conflicting values can be provided by different web sources. Characterizing the uncertainty of web data represents an important issue and several models have been recently proposed in the literature. The paper illustrates state-of-the-art Bayesan models to evaluate the quality of data extracted from the Web and reports the results of an extensive application of the models on real life web data. Our experimental results show that for some applications even simple approaches can provide effective results, while sophisticated solutions are needed to obtain a more precise characterization of the uncertainty.