DQRDFS - Towards a Semantic Web Enhanced with Data Quality

Ismael Caballero, Eugenio Verbo, Coral Calero, Mario Piattini



Nowadays, data is of critical importance as a resource. Using data of poor quality can be the source of several problems when developing a project. The World Wide Web is currently the main showcase for a vast amount of data. It would be desirable that machines can process the quality of the data contained on the Web Documents. This paper introduces a new view of the Semantic Web based on the concept of Quantity of Data Quality (QDQ), in which Data Quality issues will be used as a basis to enable machines to process the Semantic Web Documents for different activities like information retrieval or document filtering. This view can open new challenges in Semantic Webs oriented to improve users’ satisfaction with the Internet.


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Paper Citation

in Harvard Style

Caballero I., Verbo E., Calero C. and Piattini M. (2008). DQRDFS - Towards a Semantic Web Enhanced with Data Quality . In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-26-5, pages 178-183. DOI: 10.5220/0001526701780183

in Bibtex Style

author={Ismael Caballero and Eugenio Verbo and Coral Calero and Mario Piattini},
title={DQRDFS - Towards a Semantic Web Enhanced with Data Quality},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},

in EndNote Style

JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - DQRDFS - Towards a Semantic Web Enhanced with Data Quality
SN - 978-989-8111-26-5
AU - Caballero I.
AU - Verbo E.
AU - Calero C.
AU - Piattini M.
PY - 2008
SP - 178
EP - 183
DO - 10.5220/0001526701780183