Donato Barbagallo, Cinzia Cappiello, Chiara Francalanci, Maristella Matera


The paper compares Google’s ranking with the ranking obtained by means of a multi-dimensional source reputation index. The data quality literature defines reputation as a dimension of information quality that measures the trustworthiness and importance of an information source. Reputation is recognized as a multi-dimensional quality attribute. The variables that affect the overall reputation of an information source are related to the institutional clout of the source, to the relevance of the source in a given context, and to the general quality of the source’s information content. We have defined a set of variables measuring the reputation of Web information sources along these dimensions. These variables have been empirically assessed for the top 20 sources identified by Google as a response to 100 queries in the tourism domain. Then, we have compared Google’s ranking and the ranking obtained along each reputation variable for all queries. Results show that the assessment of reputation represents a tangible aid to the selection of information sources.


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Paper Citation

in Harvard Style

Barbagallo D., Cappiello C., Francalanci C. and Matera M. (2010). REPUTATION-BASED SELECTION OF WEB INFORMATION SOURCES . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8425-07-2, pages 30-37. DOI: 10.5220/0002908400300037

in Bibtex Style

author={Donato Barbagallo and Cinzia Cappiello and Chiara Francalanci and Maristella Matera},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 4: ICEIS,},

in EndNote Style

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 4: ICEIS,
SN - 978-989-8425-07-2
AU - Barbagallo D.
AU - Cappiello C.
AU - Francalanci C.
AU - Matera M.
PY - 2010
SP - 30
EP - 37
DO - 10.5220/0002908400300037